Company Description The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania, and Cambridge, Massachusetts is a part of the global Bosch Group (), a company with over 70 billion euro revenue, 400,000 employees worldwide, a very diverse product portfolio, and a history spanning over 125 years. The Research and Technology Center North America (RTC-NA) is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence, energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design. As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models, Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, Computer Vision & Mixed Reality, Cloud Robotics, Data Science, AI System Engineering, Time-series Analysis. We develop scalable, intelligent, and trustworthy AIoT solutions for Bosch products and services in application areas such as automated driving, advanced driver assistance systems (ADAS), robotics, smart manufacturing, enterprise AI, health care, smart home and building solutions. Originating from the AI research in Silicon Valley, our Foundation Model Powered AI Enablers group plays a pivotal role in shaping the future of industrial AI experiences for Bosch products and services. By fusing cutting-edge machine learning, data analysis, and interactive visualization technologies, we research and develop scalable and transparent AI & big data analytic solutions (e.g., audio, images, sensor logs) for a range of domains, including Industry 4.0 (I4.0), IoT, autonomous driving, and connected vehicles. Our award-winning team (IEEE VIS best paper & best paper runner-ups) actively collaborates with leading academic and industry groups to advance research ideas and disseminate findings in top AI conferences and journals, such as CVPR, ICCV, ICRA, ECCV, NeurIPS, ICLR, TVCG, SIGGRAPH. We Are Bosch. At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people's lives. Our areas of activity are every bit as diverse as our outstanding Bosch teams around the world. Their creativity is the key to innovation through connected living, mobility, or industry. Let's grow together, enjoy more, and inspire each other. Work Reinvent yourself: At Bosch, you will evolve. Discover new directions: At Bosch, you will find your place. Balance your life: At Bosch, your job matches your lifestyle. Celebrate success: At Bosch, we celebrate you. Be yourself: At Bosch, we value values. Shape tomorrow: At Bosch, you change lives. Do you want beneficial technologies being shaped your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch. Job Description Key Responsibilities: Conduct research on GenAI and Foundation models (FM) to address academic and industrial challenges in ADAS AI domain such as 3D reconstruction, world model, map and localization, data curation and auto-labeling, etc. Work with an international team of experts to transfer and apply the Bosch in-house GenAI / FM innovations and 3rd-party solutions to Bosch AI products and services, such as ADAS. Stay abreast of the latest technological advancements and market trends by attending academic conferences, technical events, and seminars. Offer expert insights to the management team in relevant technology sectors, aiding in strategic planning, R&D trajectory, and investment decisions. Document and disseminate research findings through high-caliber publications and/or patent submissions. Qualifications Basic Qualifications Ph.D. in Computer Science or Engineering, or a related discipline or master's degree with 3+ years industry experience (GenAI and/or world model related) after graduation 2+ years of research experience or equivalent graduate research experience on foundation models, including training, fine-tuning, and prompting In-depth experiences in deep learning, with work in at least two of the following areas: diffusion models, 3D reconstruction, world models Proficiency in one or more programming languages commonly used in systems research (e.g., Python, C++) and hands on experience with AI / NLP / CV libraries Publication record in top venues including CVPR, ICCV, ECCV, ICRA, IROS, RSS, NeurIPS, AAAI, ACL, EMNLP, and CoRL Strong interpersonal, communication, and teamwork capabilities Preferred Qualifications Strong background in math and statistics 3+ years experiences in industrial research Hands-on experience in product development in the above-mentioned areas for consumer/enterprise markets Experience in leading R&D project & team dealing with international customers Leadership skills with excellent English communication & teamwork skills Additional Information We offer a competitive base salary for this position with a range in US-California of $165,000 - $185,000 along with an annual corporate bonus, and a long-term incentive bonus designed to reward sustained impact and contribution over time. Within the salary range, the individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. Your well-being matters at Bosch! We offer a a benefits package designed to empower you in every area of your life. This includes premium health coverage, a 401(k) with generous matching, resources for financial planning and goal setting, ample paid time off, parental leave, and comprehensive life and disability protection. Your Recruiter can share more details for this position during the interview process. Learn more about our full benefits offerings by visiting: . Equal Opportunity Employer, including disability / veterans. Culture and Benefits Bosch in the USA
06/11/2026
Full time
Company Description The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania, and Cambridge, Massachusetts is a part of the global Bosch Group (), a company with over 70 billion euro revenue, 400,000 employees worldwide, a very diverse product portfolio, and a history spanning over 125 years. The Research and Technology Center North America (RTC-NA) is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence, energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design. As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models, Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, Computer Vision & Mixed Reality, Cloud Robotics, Data Science, AI System Engineering, Time-series Analysis. We develop scalable, intelligent, and trustworthy AIoT solutions for Bosch products and services in application areas such as automated driving, advanced driver assistance systems (ADAS), robotics, smart manufacturing, enterprise AI, health care, smart home and building solutions. Originating from the AI research in Silicon Valley, our Foundation Model Powered AI Enablers group plays a pivotal role in shaping the future of industrial AI experiences for Bosch products and services. By fusing cutting-edge machine learning, data analysis, and interactive visualization technologies, we research and develop scalable and transparent AI & big data analytic solutions (e.g., audio, images, sensor logs) for a range of domains, including Industry 4.0 (I4.0), IoT, autonomous driving, and connected vehicles. Our award-winning team (IEEE VIS best paper & best paper runner-ups) actively collaborates with leading academic and industry groups to advance research ideas and disseminate findings in top AI conferences and journals, such as CVPR, ICCV, ICRA, ECCV, NeurIPS, ICLR, TVCG, SIGGRAPH. We Are Bosch. At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people's lives. Our areas of activity are every bit as diverse as our outstanding Bosch teams around the world. Their creativity is the key to innovation through connected living, mobility, or industry. Let's grow together, enjoy more, and inspire each other. Work Reinvent yourself: At Bosch, you will evolve. Discover new directions: At Bosch, you will find your place. Balance your life: At Bosch, your job matches your lifestyle. Celebrate success: At Bosch, we celebrate you. Be yourself: At Bosch, we value values. Shape tomorrow: At Bosch, you change lives. Do you want beneficial technologies being shaped your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch. Job Description Key Responsibilities: Conduct research on GenAI and Foundation models (FM) to address academic and industrial challenges in ADAS AI domain such as 3D reconstruction, world model, map and localization, data curation and auto-labeling, etc. Work with an international team of experts to transfer and apply the Bosch in-house GenAI / FM innovations and 3rd-party solutions to Bosch AI products and services, such as ADAS. Stay abreast of the latest technological advancements and market trends by attending academic conferences, technical events, and seminars. Offer expert insights to the management team in relevant technology sectors, aiding in strategic planning, R&D trajectory, and investment decisions. Document and disseminate research findings through high-caliber publications and/or patent submissions. Qualifications Basic Qualifications Ph.D. in Computer Science or Engineering, or a related discipline or master's degree with 3+ years industry experience (GenAI and/or world model related) after graduation 2+ years of research experience or equivalent graduate research experience on foundation models, including training, fine-tuning, and prompting In-depth experiences in deep learning, with work in at least two of the following areas: diffusion models, 3D reconstruction, world models Proficiency in one or more programming languages commonly used in systems research (e.g., Python, C++) and hands on experience with AI / NLP / CV libraries Publication record in top venues including CVPR, ICCV, ECCV, ICRA, IROS, RSS, NeurIPS, AAAI, ACL, EMNLP, and CoRL Strong interpersonal, communication, and teamwork capabilities Preferred Qualifications Strong background in math and statistics 3+ years experiences in industrial research Hands-on experience in product development in the above-mentioned areas for consumer/enterprise markets Experience in leading R&D project & team dealing with international customers Leadership skills with excellent English communication & teamwork skills Additional Information We offer a competitive base salary for this position with a range in US-California of $165,000 - $185,000 along with an annual corporate bonus, and a long-term incentive bonus designed to reward sustained impact and contribution over time. Within the salary range, the individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. Your well-being matters at Bosch! We offer a a benefits package designed to empower you in every area of your life. This includes premium health coverage, a 401(k) with generous matching, resources for financial planning and goal setting, ample paid time off, parental leave, and comprehensive life and disability protection. Your Recruiter can share more details for this position during the interview process. Learn more about our full benefits offerings by visiting: . Equal Opportunity Employer, including disability / veterans. Culture and Benefits Bosch in the USA
Date Posted: 2026-04-23 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 805 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: Secret - Current Security Clearance Status: Active and existing security clearance required on day 1 We're growing fast and we want you to grow with us! We're expanding our engineering organization dramatically to meet exciting customer demand, and we're actively looking for engineers who bring strong foundational skills and a passion for solving hard problems. Industry experience in defense? Not required - we'll invest in you. If you meet the minimum qualifications, we want to talk. Apply today and take the next step in your engineering career. At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. At Raytheon's Software Engineering Directorate (SWE) Effectors Center (EC), we deliver innovative, mission-driven solutions to secure our nation. Our engineers engage in the full software development life cycle within agile teams, focusing on areas like real-time systems, machine learning, cybersecurity, and DevOps. Join our team of creative problem solvers to develop next-generation capabilities and advance your skills while protecting our country. This position is within the Effectors Center of the Software organization, and is an onsite role located in Tucson, AZ. What You Will Do Assist and participate in the requirements, design, development and testing of real-time embedded software, application software, and tools, to include development of new work products or enhancement of existing applications and systems. Design, code, test, integrate, and document software solutions. Participate in internal review of software components and systems. Collaborate with project managers and other professionals within Engineering. Work on problems with defined scope, schedule, and expectations. Follow established development practices and processes to maintain the configuration management of software products. Ability to obtain program access required. What You Will Learn Use new tools that will keep you state-of-the-art. Stay updated with the latest advancements in software development and missile technology to drive innovation. Qualifications You Must Have Typically requires a degree in Science, Technology, Engineering, or Mathematics (STEM) and a minimum of two years prior relevant experience. Experience with C, C++, or other object-oriented language. Experience with hardware-software integration and embedded system testing. Active and transferable Secret U.S. government issued security clearance is required prior to start date with the ability to obtain special program access after start. Qualifications We Prefer Knowledge of data structures and algorithms, systems software design, operating systems and architectures. Knowledge of assembly, C/C++ programming, structured programming concepts. Knowledge of object-oriented design and Unified Model Language. Knowledge of statistical and numerical methods. Interpersonal and communication skills, both verbal and written. Demonstrated ability to work effectively with colleagues and leaders in a team environment. What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Offered Based On Eligibility Learn More & Apply Now! Please consider the following role type definition as you apply for this role: Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. Clearance Information: This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: Location Information: This position is onsite at our campus in beautiful Tucson, AZ. Tucson has a friendly, caring, and laid-back atmosphere, combined with the innovation and energy of a metropolitan region, and recognized as one of America's 10 Best Small Cities. Surrounded by beautiful mountains, colorful Sonoran Desert landscape and majestic saguaro cacti, Tucson is blessed with some of nature's best work. Tucson is known for its bright blue skies, and with more than 310 sunny days per year, Tucson's fantastic weather lets residents enjoy the outdoors year-round. Virtual Fly Over City of Tucson & Community, YouTube Video Links "Raytheon In Tucson": ,-az-location "Tucson is Awesome": "Winter in Tucson": As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 68,900 USD - 131,100 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
06/11/2026
Full time
Date Posted: 2026-04-23 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 805 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: Secret - Current Security Clearance Status: Active and existing security clearance required on day 1 We're growing fast and we want you to grow with us! We're expanding our engineering organization dramatically to meet exciting customer demand, and we're actively looking for engineers who bring strong foundational skills and a passion for solving hard problems. Industry experience in defense? Not required - we'll invest in you. If you meet the minimum qualifications, we want to talk. Apply today and take the next step in your engineering career. At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. At Raytheon's Software Engineering Directorate (SWE) Effectors Center (EC), we deliver innovative, mission-driven solutions to secure our nation. Our engineers engage in the full software development life cycle within agile teams, focusing on areas like real-time systems, machine learning, cybersecurity, and DevOps. Join our team of creative problem solvers to develop next-generation capabilities and advance your skills while protecting our country. This position is within the Effectors Center of the Software organization, and is an onsite role located in Tucson, AZ. What You Will Do Assist and participate in the requirements, design, development and testing of real-time embedded software, application software, and tools, to include development of new work products or enhancement of existing applications and systems. Design, code, test, integrate, and document software solutions. Participate in internal review of software components and systems. Collaborate with project managers and other professionals within Engineering. Work on problems with defined scope, schedule, and expectations. Follow established development practices and processes to maintain the configuration management of software products. Ability to obtain program access required. What You Will Learn Use new tools that will keep you state-of-the-art. Stay updated with the latest advancements in software development and missile technology to drive innovation. Qualifications You Must Have Typically requires a degree in Science, Technology, Engineering, or Mathematics (STEM) and a minimum of two years prior relevant experience. Experience with C, C++, or other object-oriented language. Experience with hardware-software integration and embedded system testing. Active and transferable Secret U.S. government issued security clearance is required prior to start date with the ability to obtain special program access after start. Qualifications We Prefer Knowledge of data structures and algorithms, systems software design, operating systems and architectures. Knowledge of assembly, C/C++ programming, structured programming concepts. Knowledge of object-oriented design and Unified Model Language. Knowledge of statistical and numerical methods. Interpersonal and communication skills, both verbal and written. Demonstrated ability to work effectively with colleagues and leaders in a team environment. What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Offered Based On Eligibility Learn More & Apply Now! Please consider the following role type definition as you apply for this role: Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. Clearance Information: This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: Location Information: This position is onsite at our campus in beautiful Tucson, AZ. Tucson has a friendly, caring, and laid-back atmosphere, combined with the innovation and energy of a metropolitan region, and recognized as one of America's 10 Best Small Cities. Surrounded by beautiful mountains, colorful Sonoran Desert landscape and majestic saguaro cacti, Tucson is blessed with some of nature's best work. Tucson is known for its bright blue skies, and with more than 310 sunny days per year, Tucson's fantastic weather lets residents enjoy the outdoors year-round. Virtual Fly Over City of Tucson & Community, YouTube Video Links "Raytheon In Tucson": ,-az-location "Tucson is Awesome": "Winter in Tucson": As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 68,900 USD - 131,100 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
Company Description The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania, and Cambridge, Massachusetts is a part of the global Bosch Group (), a company with over 70 billion euro revenue, 400,000 employees worldwide, a very diverse product portfolio, and a history spanning over 125 years. The Research and Technology Center North America (RTC-NA) is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence, energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design. As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models, Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, Computer Vision & Mixed Reality, Cloud Robotics, Data Science, AI System Engineering, Time-series Analysis. We develop scalable, intelligent, and trustworthy AIoT solutions for Bosch products and services in application areas such as automated driving, advanced driver assistance systems (ADAS), robotics, smart manufacturing, enterprise AI, health care, smart home and building solutions. Originating from the AI research in Silicon Valley, our Foundation Model Powered AI Enablers group plays a pivotal role in shaping the future of industrial AI experiences for Bosch products and services. By fusing cutting-edge machine learning, data analysis, and interactive visualization technologies, we research and develop scalable and transparent AI & big data analytic solutions (e.g., audio, images, sensor logs) for a range of domains, including Industry 4.0 (I4.0), IoT, autonomous driving, and connected vehicles. Our award-winning team (IEEE VIS best paper & best paper runner-ups) actively collaborates with leading academic and industry groups to advance research ideas and disseminate findings in top AI conferences and journals, such as CVPR, ICCV, ICRA, ECCV, NeurIPS, ICLR, TVCG, SIGGRAPH. We Are Bosch. At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people's lives. Our areas of activity are every bit as diverse as our outstanding Bosch teams around the world. Their creativity is the key to innovation through connected living, mobility, or industry. Let's grow together, enjoy more, and inspire each other. Work Reinvent yourself: At Bosch, you will evolve. Discover new directions: At Bosch, you will find your place. Balance your life: At Bosch, your job matches your lifestyle. Celebrate success: At Bosch, we celebrate you. Be yourself: At Bosch, we value values. Shape tomorrow: At Bosch, you change lives. Do you want beneficial technologies being shaped your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch. Job Description Key Responsibilities: Conduct research on GenAI and Foundation models (FM) to address academic and industrial challenges in ADAS AI domain such as 3D reconstruction, world model, map and localization, data curation and auto-labeling, etc. Work with an international team of experts to transfer and apply the Bosch in-house GenAI / FM innovations and 3rd-party solutions to Bosch AI products and services, such as ADAS. Stay abreast of the latest technological advancements and market trends by attending academic conferences, technical events, and seminars. Offer expert insights to the management team in relevant technology sectors, aiding in strategic planning, R&D trajectory, and investment decisions. Document and disseminate research findings through high-caliber publications and/or patent submissions. Qualifications Basic Qualifications Ph.D. in Computer Science or Engineering, or a related discipline or master's degree with 3+ years industry experience (GenAI and/or world model related) after graduation 2+ years of research experience or equivalent graduate research experience on foundation models, including training, fine-tuning, and prompting In-depth experiences in deep learning, with work in at least two of the following areas: diffusion models, 3D reconstruction, world models Proficiency in one or more programming languages commonly used in systems research (e.g., Python, C++) and hands on experience with AI / NLP / CV libraries Publication record in top venues including CVPR, ICCV, ECCV, ICRA, IROS, RSS, NeurIPS, AAAI, ACL, EMNLP, and CoRL Strong interpersonal, communication, and teamwork capabilities Preferred Qualifications Strong background in math and statistics 3+ years experiences in industrial research Hands-on experience in product development in the above-mentioned areas for consumer/enterprise markets Experience in leading R&D project & team dealing with international customers Leadership skills with excellent English communication & teamwork skills Additional Information We offer a competitive base salary for this position with a range in US-California of $165,000 - $185,000 along with an annual corporate bonus, and a long-term incentive bonus designed to reward sustained impact and contribution over time. Within the salary range, the individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. Your well-being matters at Bosch! We offer a a benefits package designed to empower you in every area of your life. This includes premium health coverage, a 401(k) with generous matching, resources for financial planning and goal setting, ample paid time off, parental leave, and comprehensive life and disability protection. Your Recruiter can share more details for this position during the interview process. Learn more about our full benefits offerings by visiting: . Equal Opportunity Employer, including disability / veterans. Culture and Benefits Bosch in the USA
06/11/2026
Full time
Company Description The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania, and Cambridge, Massachusetts is a part of the global Bosch Group (), a company with over 70 billion euro revenue, 400,000 employees worldwide, a very diverse product portfolio, and a history spanning over 125 years. The Research and Technology Center North America (RTC-NA) is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence, energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design. As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models, Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, Computer Vision & Mixed Reality, Cloud Robotics, Data Science, AI System Engineering, Time-series Analysis. We develop scalable, intelligent, and trustworthy AIoT solutions for Bosch products and services in application areas such as automated driving, advanced driver assistance systems (ADAS), robotics, smart manufacturing, enterprise AI, health care, smart home and building solutions. Originating from the AI research in Silicon Valley, our Foundation Model Powered AI Enablers group plays a pivotal role in shaping the future of industrial AI experiences for Bosch products and services. By fusing cutting-edge machine learning, data analysis, and interactive visualization technologies, we research and develop scalable and transparent AI & big data analytic solutions (e.g., audio, images, sensor logs) for a range of domains, including Industry 4.0 (I4.0), IoT, autonomous driving, and connected vehicles. Our award-winning team (IEEE VIS best paper & best paper runner-ups) actively collaborates with leading academic and industry groups to advance research ideas and disseminate findings in top AI conferences and journals, such as CVPR, ICCV, ICRA, ECCV, NeurIPS, ICLR, TVCG, SIGGRAPH. We Are Bosch. At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people's lives. Our areas of activity are every bit as diverse as our outstanding Bosch teams around the world. Their creativity is the key to innovation through connected living, mobility, or industry. Let's grow together, enjoy more, and inspire each other. Work Reinvent yourself: At Bosch, you will evolve. Discover new directions: At Bosch, you will find your place. Balance your life: At Bosch, your job matches your lifestyle. Celebrate success: At Bosch, we celebrate you. Be yourself: At Bosch, we value values. Shape tomorrow: At Bosch, you change lives. Do you want beneficial technologies being shaped your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch. Job Description Key Responsibilities: Conduct research on GenAI and Foundation models (FM) to address academic and industrial challenges in ADAS AI domain such as 3D reconstruction, world model, map and localization, data curation and auto-labeling, etc. Work with an international team of experts to transfer and apply the Bosch in-house GenAI / FM innovations and 3rd-party solutions to Bosch AI products and services, such as ADAS. Stay abreast of the latest technological advancements and market trends by attending academic conferences, technical events, and seminars. Offer expert insights to the management team in relevant technology sectors, aiding in strategic planning, R&D trajectory, and investment decisions. Document and disseminate research findings through high-caliber publications and/or patent submissions. Qualifications Basic Qualifications Ph.D. in Computer Science or Engineering, or a related discipline or master's degree with 3+ years industry experience (GenAI and/or world model related) after graduation 2+ years of research experience or equivalent graduate research experience on foundation models, including training, fine-tuning, and prompting In-depth experiences in deep learning, with work in at least two of the following areas: diffusion models, 3D reconstruction, world models Proficiency in one or more programming languages commonly used in systems research (e.g., Python, C++) and hands on experience with AI / NLP / CV libraries Publication record in top venues including CVPR, ICCV, ECCV, ICRA, IROS, RSS, NeurIPS, AAAI, ACL, EMNLP, and CoRL Strong interpersonal, communication, and teamwork capabilities Preferred Qualifications Strong background in math and statistics 3+ years experiences in industrial research Hands-on experience in product development in the above-mentioned areas for consumer/enterprise markets Experience in leading R&D project & team dealing with international customers Leadership skills with excellent English communication & teamwork skills Additional Information We offer a competitive base salary for this position with a range in US-California of $165,000 - $185,000 along with an annual corporate bonus, and a long-term incentive bonus designed to reward sustained impact and contribution over time. Within the salary range, the individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. Your well-being matters at Bosch! We offer a a benefits package designed to empower you in every area of your life. This includes premium health coverage, a 401(k) with generous matching, resources for financial planning and goal setting, ample paid time off, parental leave, and comprehensive life and disability protection. Your Recruiter can share more details for this position during the interview process. Learn more about our full benefits offerings by visiting: . Equal Opportunity Employer, including disability / veterans. Culture and Benefits Bosch in the USA
Description: Description Who we're looking for: an experienced CNC machinist that is looking to get off the shop floor. You've spent time on the shop floor setting up and running 3-, 4-, or 5-axis CNC machines. You know feeds, speeds, and offsets because you've done the work-not just watched it. You have experience in fixture design or complex part holding. If you haven't run a CNC machine, this role isn't the right match. (It's not an IT, software-support, or call-center job.) Sound like you? We'd love to hear from you. If not, thanks for taking a look and good luck with your search! Are you a problem-solving, customer-focused professional with a passion for machining, workholding, and precision manufacturing? Do you enjoy applying your technical expertise, CAD experience, and knowledge of HMC, VMC, and 4- and 5-axis machining to develop creative solutions that help customers optimize their manufacturing processes? At Mate Precision Technologies, we Respect, Support, and Inspire metalworking professionals around the world - and we're looking for a talented CNC Technical Solutions Specialist to join our team at our headquarters in Anoka, Minnesota. As a CNC Technical Solutions Specialist , you'll collaborate closely with customers to evaluate machining applications, develop innovative workholding concepts, and recommend solutions that drive performance, productivity, and precision. This role blends hands-on machining experience, strong technical judgment, and clear communication to deliver the high-level support Mate is known for. If you're ready to bring your machining expertise into a customer-facing, solution-driven role with opportunities for continuous learning and impact - this is the role for you! Requirements: What You'll Do As a CNC Technical Solutions Specialist , you will: Evaluate customer applications by assessing their machining and/or forming environments (HMC, VMC, 5-axis/5-sided setups, usable workspace, table layouts, and/or press brakes and related equipment). Analyze key machining factors including material type, removal rate, clamping method, and part size. Collaborate directly with customers to understand their manufacturing challenges across machining and metal forming processes while providing both pre-sale and post-sale technical support. Apply strong mechanical aptitude and deep product and process knowledge to diagnose customer challenges, develop practical solutions through engineering concept drawings, sketches, and 3D CAD models for Workholding and press brake applications. Prepare formal quotations, including establishing pricing and lead times using Mate's business systems. Develop working knowledge of press brake tooling and forming applications through structured training and hands-on experience. Deliver exceptional technical service that reflects Mate's industry-leading reputation for customer care. Work collaboratively with team members while demonstrating responsiveness, openness, and support. Model Mate's values through reliability, sound judgment, honesty, and accountability. Contribute to a respectful, communication-focused work environment. Perform all other duties as assigned. What You'll Bring High school diploma or equivalent required. Minimum of 4 years of experience with multi-axis VMC/HMC machining, including machine setup and programming. Strong working knowledge of workholding principles, clamping mechanics, and the effects of material type and thickness. Practical understanding of cutting tool design, application, and performance. Hands-on experience with various tooling designs and machining applications. Proficiency in 3D CAD software such as SolidWorks, AutoCAD, or equivalent (preferred). Excellent spatial reasoning with the ability to visualize in 2D and 3D. Strong math skills, especially related to force, tolerances, and metric/inch conversions. Ability to read and interpret blueprints. Basic understanding of GD&T. Proficiency with Microsoft Word, Excel, Outlook, and online research tools. Effective verbal and written communication skills in English. What would be a bonus: Fluency in a foreign language-especially Spanish, Japanese, or French. What would be a bonus: Comprehensive knowledge in Press Brake or Punch Press Tooling Ability to work on-site at our Anoka, Minnesota headquarters five days per week. Physical Requirements & Work Environment This position involves both office and manufacturing environments. You will: Sit for extended periods and work on a computer. Use hands and fingers to operate office and engineering tools. Communicate effectively in written and verbal formats. Occasionally stand, walk, bend, reach, or stoop. Lift or move items up to 15 lbs. Perform visual inspections requiring close vision and focus adjustments. Work environments include: A standard office setting with normal lighting, ventilation, and temperature. Occasional visits to manufacturing areas with moderate noise and required PPE. Pay, Schedule & Benefits Hourly Pay Range: $38.00-$44.25 per hour depending upon education and experience Comprehensive Benefits: Medical, Dental, Vision, Life Insurance, Short- & Long-Term Disability, PTO, Paid Holidays, and more Retirement: 401(k) with employer match and profit-sharing plan Award-Winning Wellness Program Tuition Reimbursement If you're ready to apply your machining expertise in a role that blends technical problem-solving, customer partnership, CAD creativity, and innovation - join Mate! PIb-6280
06/04/2026
Full time
Description: Description Who we're looking for: an experienced CNC machinist that is looking to get off the shop floor. You've spent time on the shop floor setting up and running 3-, 4-, or 5-axis CNC machines. You know feeds, speeds, and offsets because you've done the work-not just watched it. You have experience in fixture design or complex part holding. If you haven't run a CNC machine, this role isn't the right match. (It's not an IT, software-support, or call-center job.) Sound like you? We'd love to hear from you. If not, thanks for taking a look and good luck with your search! Are you a problem-solving, customer-focused professional with a passion for machining, workholding, and precision manufacturing? Do you enjoy applying your technical expertise, CAD experience, and knowledge of HMC, VMC, and 4- and 5-axis machining to develop creative solutions that help customers optimize their manufacturing processes? At Mate Precision Technologies, we Respect, Support, and Inspire metalworking professionals around the world - and we're looking for a talented CNC Technical Solutions Specialist to join our team at our headquarters in Anoka, Minnesota. As a CNC Technical Solutions Specialist , you'll collaborate closely with customers to evaluate machining applications, develop innovative workholding concepts, and recommend solutions that drive performance, productivity, and precision. This role blends hands-on machining experience, strong technical judgment, and clear communication to deliver the high-level support Mate is known for. If you're ready to bring your machining expertise into a customer-facing, solution-driven role with opportunities for continuous learning and impact - this is the role for you! Requirements: What You'll Do As a CNC Technical Solutions Specialist , you will: Evaluate customer applications by assessing their machining and/or forming environments (HMC, VMC, 5-axis/5-sided setups, usable workspace, table layouts, and/or press brakes and related equipment). Analyze key machining factors including material type, removal rate, clamping method, and part size. Collaborate directly with customers to understand their manufacturing challenges across machining and metal forming processes while providing both pre-sale and post-sale technical support. Apply strong mechanical aptitude and deep product and process knowledge to diagnose customer challenges, develop practical solutions through engineering concept drawings, sketches, and 3D CAD models for Workholding and press brake applications. Prepare formal quotations, including establishing pricing and lead times using Mate's business systems. Develop working knowledge of press brake tooling and forming applications through structured training and hands-on experience. Deliver exceptional technical service that reflects Mate's industry-leading reputation for customer care. Work collaboratively with team members while demonstrating responsiveness, openness, and support. Model Mate's values through reliability, sound judgment, honesty, and accountability. Contribute to a respectful, communication-focused work environment. Perform all other duties as assigned. What You'll Bring High school diploma or equivalent required. Minimum of 4 years of experience with multi-axis VMC/HMC machining, including machine setup and programming. Strong working knowledge of workholding principles, clamping mechanics, and the effects of material type and thickness. Practical understanding of cutting tool design, application, and performance. Hands-on experience with various tooling designs and machining applications. Proficiency in 3D CAD software such as SolidWorks, AutoCAD, or equivalent (preferred). Excellent spatial reasoning with the ability to visualize in 2D and 3D. Strong math skills, especially related to force, tolerances, and metric/inch conversions. Ability to read and interpret blueprints. Basic understanding of GD&T. Proficiency with Microsoft Word, Excel, Outlook, and online research tools. Effective verbal and written communication skills in English. What would be a bonus: Fluency in a foreign language-especially Spanish, Japanese, or French. What would be a bonus: Comprehensive knowledge in Press Brake or Punch Press Tooling Ability to work on-site at our Anoka, Minnesota headquarters five days per week. Physical Requirements & Work Environment This position involves both office and manufacturing environments. You will: Sit for extended periods and work on a computer. Use hands and fingers to operate office and engineering tools. Communicate effectively in written and verbal formats. Occasionally stand, walk, bend, reach, or stoop. Lift or move items up to 15 lbs. Perform visual inspections requiring close vision and focus adjustments. Work environments include: A standard office setting with normal lighting, ventilation, and temperature. Occasional visits to manufacturing areas with moderate noise and required PPE. Pay, Schedule & Benefits Hourly Pay Range: $38.00-$44.25 per hour depending upon education and experience Comprehensive Benefits: Medical, Dental, Vision, Life Insurance, Short- & Long-Term Disability, PTO, Paid Holidays, and more Retirement: 401(k) with employer match and profit-sharing plan Award-Winning Wellness Program Tuition Reimbursement If you're ready to apply your machining expertise in a role that blends technical problem-solving, customer partnership, CAD creativity, and innovation - join Mate! PIb-6280
Working at the Naval Nuclear Laboratory we foster pride in belonging to an organization whose culture is made up of these core values: Trust, Empowerment, and Collaboration. Our company promotes a positive culture while ensuring the safety and reliability of our nation's naval nuclear reactors, and training the Sailors who operate those reactors in the U.S. Navy's submarines and aircraft carrier Fleets. Looking for a lifetime career? Apply today! Job Description The Integrated Power System's unit within Submarine Programs is seeking a highly skilled control system engineer with expertise in designing, implementing, and optimizing control systems for complex dynamic systems that integrate coupled mechanical-electric-fluid dynamic disciplines. This role requires strong foundations in control theory, modeling & simulation, and real?time implementation. The engineer will collaborate with multidisciplinary teams to design control strategies, validate performance, and support integration into hardware or embedded environments. The position requires a balance of theoretical knowledge, practical hands- on skills, and the ability to collaborate with engineers from diverse technical backgrounds. The work location for this position is full-time at the Knolls site. Key Responsibilities Develop advanced feedback and feedforward control solutions using adaptive, nonlinear, robust, and optimal control methods for coupled mechanical-electric-fluid dynamic systems. Build and validate dynamic system models; performing system identification when required. Lead the system integration of components such as actuators, sensors, and real-time processing for distributed control platforms. Conduct stability, performance, and robustness analyses using modern control techniques. Implement real?time control algorithms on embedded platforms, microcontrollers or DSPs. Perform simulation, verification, and validation using MATLAB/Simulink or equivalent tools. Support hardware?in?the?loop testing, data acquisition, and tuning of controllers. Collaborate with electrical, mechanical, software, and systems engineering teams. Troubleshoot system behavior and optimize control performance during integration and testing. Document models, design decisions, test results, and control strategies clearly and accurately. Required Combination of Knowledge and Skill Bachelors degree from an accredited college or university in electrical, mechanical or systems engineering and a minimum of 6 years of relevant experience; or Masters degree from an accredited college or university in electrical, mechanical or systems engineering and a minimum of 4 years of relevant experience; or Doctorate degree from an accredited college or university in electrical, mechanical or systems engineering and a minimum of 1 year of relevant experience. Preferred Skills Academic background featuring a concentration, track, or elective sequence in control systems. Relevant experience with advanced control methods such as adaptive control (e.g., Filtered-X LMS), optimal control (LQR, MPC), robust control, or nonlinear control. Relevant experience with system modeling & simulation tools such as MATLAB/Simulink, Simscape, or similar platforms. Relevant experience with real?time control implementation on embedded systems using MATLAB/Simulink environments. Experience with HIL systems, digital twins, or real?time simulation platforms. Familiarity with optimization techniques and advanced estimation methods. Background in robotics, electromechanical systems, power systems, propulsion, or automation. Knowledge of machine learning or reinforcement learning applied to control systems. Experience with data acquisition, sensor/actuator interfacing, and lab testing environments Compensation and Benefits Health, Dental, Vision & Voluntary Benefits Disability, Life & Accident Insurance 401(k) Savings program & Capital Accumulation Plan Personal & Medical Time Off Paid Parental Leave Flexible Work Schedules Tuition Assistance for Eligible Employees Student Debt Benefit Personal Time Off Sell Program Employee Assistance Program (EAP) Wellness Program Visit us online to view all NNL benefits! Pay Range $94,800.00 - $148,200.00 annually Salary information provided is a general guideline only. Annual salary is based upon candidate experience and qualifications, as well as market and business considerations. The Naval Nuclear Laboratory is operated for the U.S. Department of Energy (DOE) by Fluor Marine Propulsion, LLC (FMP), a wholly owned subsidiary of Fluor Corporation. Naval Nuclear Laboratory personnel are FMP employees who work at four DOE facilities: Bettis Atomic Power Laboratory, Knolls Atomic Power Laboratory, Kenneth A. Kesselring Site, and Naval Reactors Facility, and at the U.S. Department of Defense-owned Nuclear Power Training Unit-Charleston. FMP employees also have an established presence at numerous shipyards and vendor locations. For nearly 70 years, the Naval Nuclear Laboratory has developed advanced nuclear propulsion technology, provided technical support, and trained world-class nuclear operators to ensure the safe and reliable operation of our nation's submarine and aircraft carrier Fleets. The Naval Nuclear Laboratory is a national asset solely dedicated to the Naval Nuclear Propulsion Program. We rely on the dedication and innovation of our nearly 8000 engineers, scientists, technicians, and support personnel. All candidates must be U.S. citizens. Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter. FMP is a government contractor and maintains a drug free workplace and workforce. All candidates must be able to pass a drug test in compliance with FMP company policy and 10 CFR 707. Marijuana is a Federal Schedule I controlled substance and illegal under Federal Law. Therefore, FMP is required to test for marijuana. Fluor Marine Propulsion, LLC is an Equal Opportunity Employer, including disability/vets. All qualified applicants will receive consideration for employment without regard to race, color, age, sex, religion, national origin, disability, veteran status, genetic information, or any other criteria protected by federal, state, or local law.
06/04/2026
Full time
Working at the Naval Nuclear Laboratory we foster pride in belonging to an organization whose culture is made up of these core values: Trust, Empowerment, and Collaboration. Our company promotes a positive culture while ensuring the safety and reliability of our nation's naval nuclear reactors, and training the Sailors who operate those reactors in the U.S. Navy's submarines and aircraft carrier Fleets. Looking for a lifetime career? Apply today! Job Description The Integrated Power System's unit within Submarine Programs is seeking a highly skilled control system engineer with expertise in designing, implementing, and optimizing control systems for complex dynamic systems that integrate coupled mechanical-electric-fluid dynamic disciplines. This role requires strong foundations in control theory, modeling & simulation, and real?time implementation. The engineer will collaborate with multidisciplinary teams to design control strategies, validate performance, and support integration into hardware or embedded environments. The position requires a balance of theoretical knowledge, practical hands- on skills, and the ability to collaborate with engineers from diverse technical backgrounds. The work location for this position is full-time at the Knolls site. Key Responsibilities Develop advanced feedback and feedforward control solutions using adaptive, nonlinear, robust, and optimal control methods for coupled mechanical-electric-fluid dynamic systems. Build and validate dynamic system models; performing system identification when required. Lead the system integration of components such as actuators, sensors, and real-time processing for distributed control platforms. Conduct stability, performance, and robustness analyses using modern control techniques. Implement real?time control algorithms on embedded platforms, microcontrollers or DSPs. Perform simulation, verification, and validation using MATLAB/Simulink or equivalent tools. Support hardware?in?the?loop testing, data acquisition, and tuning of controllers. Collaborate with electrical, mechanical, software, and systems engineering teams. Troubleshoot system behavior and optimize control performance during integration and testing. Document models, design decisions, test results, and control strategies clearly and accurately. Required Combination of Knowledge and Skill Bachelors degree from an accredited college or university in electrical, mechanical or systems engineering and a minimum of 6 years of relevant experience; or Masters degree from an accredited college or university in electrical, mechanical or systems engineering and a minimum of 4 years of relevant experience; or Doctorate degree from an accredited college or university in electrical, mechanical or systems engineering and a minimum of 1 year of relevant experience. Preferred Skills Academic background featuring a concentration, track, or elective sequence in control systems. Relevant experience with advanced control methods such as adaptive control (e.g., Filtered-X LMS), optimal control (LQR, MPC), robust control, or nonlinear control. Relevant experience with system modeling & simulation tools such as MATLAB/Simulink, Simscape, or similar platforms. Relevant experience with real?time control implementation on embedded systems using MATLAB/Simulink environments. Experience with HIL systems, digital twins, or real?time simulation platforms. Familiarity with optimization techniques and advanced estimation methods. Background in robotics, electromechanical systems, power systems, propulsion, or automation. Knowledge of machine learning or reinforcement learning applied to control systems. Experience with data acquisition, sensor/actuator interfacing, and lab testing environments Compensation and Benefits Health, Dental, Vision & Voluntary Benefits Disability, Life & Accident Insurance 401(k) Savings program & Capital Accumulation Plan Personal & Medical Time Off Paid Parental Leave Flexible Work Schedules Tuition Assistance for Eligible Employees Student Debt Benefit Personal Time Off Sell Program Employee Assistance Program (EAP) Wellness Program Visit us online to view all NNL benefits! Pay Range $94,800.00 - $148,200.00 annually Salary information provided is a general guideline only. Annual salary is based upon candidate experience and qualifications, as well as market and business considerations. The Naval Nuclear Laboratory is operated for the U.S. Department of Energy (DOE) by Fluor Marine Propulsion, LLC (FMP), a wholly owned subsidiary of Fluor Corporation. Naval Nuclear Laboratory personnel are FMP employees who work at four DOE facilities: Bettis Atomic Power Laboratory, Knolls Atomic Power Laboratory, Kenneth A. Kesselring Site, and Naval Reactors Facility, and at the U.S. Department of Defense-owned Nuclear Power Training Unit-Charleston. FMP employees also have an established presence at numerous shipyards and vendor locations. For nearly 70 years, the Naval Nuclear Laboratory has developed advanced nuclear propulsion technology, provided technical support, and trained world-class nuclear operators to ensure the safe and reliable operation of our nation's submarine and aircraft carrier Fleets. The Naval Nuclear Laboratory is a national asset solely dedicated to the Naval Nuclear Propulsion Program. We rely on the dedication and innovation of our nearly 8000 engineers, scientists, technicians, and support personnel. All candidates must be U.S. citizens. Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter. FMP is a government contractor and maintains a drug free workplace and workforce. All candidates must be able to pass a drug test in compliance with FMP company policy and 10 CFR 707. Marijuana is a Federal Schedule I controlled substance and illegal under Federal Law. Therefore, FMP is required to test for marijuana. Fluor Marine Propulsion, LLC is an Equal Opportunity Employer, including disability/vets. All qualified applicants will receive consideration for employment without regard to race, color, age, sex, religion, national origin, disability, veteran status, genetic information, or any other criteria protected by federal, state, or local law.
Description: Business Development Manager - Technical Sales (Automation & Emerging Markets) KEB America is seeking a Business Development Manager (BDM) to support and grow our presence across multiple high-opportunity industrial automation markets in North America. This is a technical, relationship-driven sales role focused on long-term customer development, complex automation solutions, and strategic revenue growth rather than transactional or short-cycle sales. This role is ideal for someone who thrives in long, consultative sales cycles, enjoys learning highly engineered products, and values time to build credibility and market presence before being measured strictly on short-term results. Requirements: The BDM will be teamed with another Business Development Manager and jointly responsible for actively pursuing revenue in priority growth segments such as: E-Mobility Plastics Machinery and Recycling Theatre Automation In addition, this role will passively support opportunities that arise across other industrial segments. As KEB continues to expand and market demand shifts, BDMs will adapt their active market focus to align with growth opportunities and emerging technologies. This multi-market approach provides both revenue stability and career flexibility, ensuring individuals are not reliant on a single industry cycle and can evolve their focus as markets grow or change. What You'll Be Responsible For Drive new customer acquisition and revenue growth across assigned active industry segments Manage complex, long-cycle sales opportunities, often 18-24 months Collaborate closely with another BDM to develop strategy, share market insight, and support joint account coverage Passively support inbound and cross-industry opportunities outside primary active markets Partner with internal engineering and applications teams to deliver customized automation solutions Lead customer discovery, solution positioning, and long-term relationship management Prepare thoroughly for customer meetings and maintain consistent follow-up throughout the sales process Coordinate with global KEB teams when supporting multinational customers As experience grows, contribute to go-to-market strategy, emerging market exploration, and industry prioritization What We're Looking For Required Experience in technical or industrial sales Comfort operating within long, consultative sales cycles Strong preparation skills and the ability to clearly explain prior sales environments and strategies Coachable, self-motivated, and able to execute within an established strategy Ability to build trust with both customers and internal technical teams Nice to Have Exposure to industrial automation, drives, or motion control Electrical or Mechanical Engineering background Experience selling into E-Mobility or adjacent industrial markets Travel & Location Based in Shakopee, MN Typical travel around 25%, with occasional peaks up to approximately 40% Travel primarily within North America Opportunity to visit KEB headquarters in Germany after the first year Compensation & Growth Base Salary: $90,000-$140,000 + OTE Variable compensation tied to achievable, balanced sales objectives Multi-market coverage helps protect earnings through shifting industry cycles Why KEB America Highly engineered, customized automation solutions Long-term, relationship-driven customer engagements Strong internal technical support so sales can focus on selling Stable growth backed by KEB Germany with continued investment in emerging markets We offer an excellent work-life balance and competitive salaries and benefits, including: Medical/Dental/Vision Insurance Plans Flexible Spending Account (FSA) Health Saving Account (HSA) Paid Time Off (PTO) & Paid Holidays 401(k) Match Tuition Reimbursement Opportunities for Advancement And More Compensation details: 00 Yearly Salary PI0488aefc2f95-2355
06/02/2026
Full time
Description: Business Development Manager - Technical Sales (Automation & Emerging Markets) KEB America is seeking a Business Development Manager (BDM) to support and grow our presence across multiple high-opportunity industrial automation markets in North America. This is a technical, relationship-driven sales role focused on long-term customer development, complex automation solutions, and strategic revenue growth rather than transactional or short-cycle sales. This role is ideal for someone who thrives in long, consultative sales cycles, enjoys learning highly engineered products, and values time to build credibility and market presence before being measured strictly on short-term results. Requirements: The BDM will be teamed with another Business Development Manager and jointly responsible for actively pursuing revenue in priority growth segments such as: E-Mobility Plastics Machinery and Recycling Theatre Automation In addition, this role will passively support opportunities that arise across other industrial segments. As KEB continues to expand and market demand shifts, BDMs will adapt their active market focus to align with growth opportunities and emerging technologies. This multi-market approach provides both revenue stability and career flexibility, ensuring individuals are not reliant on a single industry cycle and can evolve their focus as markets grow or change. What You'll Be Responsible For Drive new customer acquisition and revenue growth across assigned active industry segments Manage complex, long-cycle sales opportunities, often 18-24 months Collaborate closely with another BDM to develop strategy, share market insight, and support joint account coverage Passively support inbound and cross-industry opportunities outside primary active markets Partner with internal engineering and applications teams to deliver customized automation solutions Lead customer discovery, solution positioning, and long-term relationship management Prepare thoroughly for customer meetings and maintain consistent follow-up throughout the sales process Coordinate with global KEB teams when supporting multinational customers As experience grows, contribute to go-to-market strategy, emerging market exploration, and industry prioritization What We're Looking For Required Experience in technical or industrial sales Comfort operating within long, consultative sales cycles Strong preparation skills and the ability to clearly explain prior sales environments and strategies Coachable, self-motivated, and able to execute within an established strategy Ability to build trust with both customers and internal technical teams Nice to Have Exposure to industrial automation, drives, or motion control Electrical or Mechanical Engineering background Experience selling into E-Mobility or adjacent industrial markets Travel & Location Based in Shakopee, MN Typical travel around 25%, with occasional peaks up to approximately 40% Travel primarily within North America Opportunity to visit KEB headquarters in Germany after the first year Compensation & Growth Base Salary: $90,000-$140,000 + OTE Variable compensation tied to achievable, balanced sales objectives Multi-market coverage helps protect earnings through shifting industry cycles Why KEB America Highly engineered, customized automation solutions Long-term, relationship-driven customer engagements Strong internal technical support so sales can focus on selling Stable growth backed by KEB Germany with continued investment in emerging markets We offer an excellent work-life balance and competitive salaries and benefits, including: Medical/Dental/Vision Insurance Plans Flexible Spending Account (FSA) Health Saving Account (HSA) Paid Time Off (PTO) & Paid Holidays 401(k) Match Tuition Reimbursement Opportunities for Advancement And More Compensation details: 00 Yearly Salary PI0488aefc2f95-2355
Job ID: 695377BR Date posted: Jan. 13, 2026 Description: Who We Are: Lockheed Martin RMS provides mission software for the United States Strategic Command (USSTRATCOM) Nuclear Deterrence Mission. Our amazing men and women are on a mission to make a difference in the world and keep our nation safe. We use our unique skills and experiences every day to create, design and build solutions to some of the world's hardest engineering problems. Lockheed Martin RMS at Offutt Air Force Base in Bellevue, Nebraska is seeking a full-time Engineers to join our Global Strike and Product Support 2 (GSPS2) engineering team working with USSTRATCOM in an Agile / DevSecOps environment. Join us and create Web-based and Java mission systems for the Intelligence, Global Strike, and Nuclear Planning communities. With our employees as our priority, you'll benefit from diverse career opportunities designed to propel development and boost agility. Flexible schedules, competitive pay, and comprehensive benefits enable you to live a healthy, fulfilling life at and outside of work. This opportunity is a gateway to advancing your career while strengthening our nation and protecting ourselves and our allies from next generation adversaries and their threats. What You Will Be Doing: The qualified candidate will work with experienced software engineers, AI Engineers, and Data Scientists executing engineering best practices, full-stack design patterns, and secure software and AI techniques in the Rogue Blue Software (RBS) Software environment as part of the Integrated Strategic Planning and Analysis Network (ISPAN) Mission Planning and Application System (MPAS) systems. Responsibilities will include development, design, and technical leadership for Artificial Intelligence and Machine Learning systems, model creation, data science / analytics, and interaction with systems engineers, architects, scrum masters, product owners, and end users to deliver mission capabilities for USSTRATCOM. Lockheed Martin RMS at Offutt Air Force Base in Bellevue, Nebraska is seeking a full-time Software Engineers to join our Global Strike and Product Support 2 (GSPS2) engineering team working with USSTRATCOM in an Agile / DevSecOps environment. Join us and create Web-based and Java mission systems for the Intelligence, Global Strike, and Nuclear Planning communities. With our employees as our priority, you'll benefit from diverse career opportunities designed to propel development and boost agility. Flexible schedules, competitive pay, and comprehensive benefits enable you to live a healthy, fulfilling life at and outside of work. This opportunity is a gateway to advancing your career while strengthening our nation and protecting ourselves and our allies from next generation adversaries and their threats. What You Will Be Doing: The qualified candidate will work with experienced software engineers executing web development best practices, full-stack design patterns, and secure software techniques in the Rogue Blue Software (RBS) Software environment as part of the Integrated Strategic Planning and Analysis Network (ISPAN) Mission Planning and Application System (MPAS) systems. Responsibilities will include software development and design for Artificial Intelligence and Machine Learning systems, model creation, data science / analytics, and interaction with systems engineers, architects, scrum masters, product owners, and end users to deliver mission capabilities for USSTRATCOM. Basic Qualifications: • Bachelors degree from an accredited college in a related discipline, or equivalent experience/combined education, with 9 years of professional experience; or 7 years of professional experience with a related Masters degree. Considered an emerging authority. • Must be a US Citizen; this position will require a government security clearance. This position is located at a facility that requires special access • Experience with AI/ML: disciplines, domain programming languages (including Python), models, frameworks, and toolsets. • Experience analyzing domain problems and selecting and designing AI solutions. Desired Skills: • DevOps experience including CI/CD pipelines to build, test, deploy. • Experience with training deep neural networks and other AI algorithms • Experience with Java and JavaScript • Familiarity with high-performance computing • Familiarity interfacing with databases (Oracle, MongoDB) Security Clearance Statement: This position requires a government security clearance, you must be a US Citizen for consideration. Clearance Level: Top Secret Other Important Information You Should Know Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings. Ability to Work Remotely: Onsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility. Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits. Schedule for this Position: 4x10 hour day, 3 days off per week Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration. Join us at Lockheed Martin, where your mission is ours. Our customers tackle the hardest missions. Those that demand extraordinary amounts of courage, resilience and precision. They're dangerous. Critical. Sometimes they even provide an opportunity to change the world and save lives. Those are the missions we care about. As a leading technology innovation company, Lockheed Martin's vast team works with partners around the world to bring proven performance to our customers' toughest challenges. Lockheed Martin has employees based in many states throughout the U.S., and Internationally, with business locations in many nations and territories. Experience Level: Experienced Professional Business Unit: RMS Relocation Available: No Career Area: Artificial Intelligence Type: Full-Time Shift: First
01/16/2026
Full time
Job ID: 695377BR Date posted: Jan. 13, 2026 Description: Who We Are: Lockheed Martin RMS provides mission software for the United States Strategic Command (USSTRATCOM) Nuclear Deterrence Mission. Our amazing men and women are on a mission to make a difference in the world and keep our nation safe. We use our unique skills and experiences every day to create, design and build solutions to some of the world's hardest engineering problems. Lockheed Martin RMS at Offutt Air Force Base in Bellevue, Nebraska is seeking a full-time Engineers to join our Global Strike and Product Support 2 (GSPS2) engineering team working with USSTRATCOM in an Agile / DevSecOps environment. Join us and create Web-based and Java mission systems for the Intelligence, Global Strike, and Nuclear Planning communities. With our employees as our priority, you'll benefit from diverse career opportunities designed to propel development and boost agility. Flexible schedules, competitive pay, and comprehensive benefits enable you to live a healthy, fulfilling life at and outside of work. This opportunity is a gateway to advancing your career while strengthening our nation and protecting ourselves and our allies from next generation adversaries and their threats. What You Will Be Doing: The qualified candidate will work with experienced software engineers, AI Engineers, and Data Scientists executing engineering best practices, full-stack design patterns, and secure software and AI techniques in the Rogue Blue Software (RBS) Software environment as part of the Integrated Strategic Planning and Analysis Network (ISPAN) Mission Planning and Application System (MPAS) systems. Responsibilities will include development, design, and technical leadership for Artificial Intelligence and Machine Learning systems, model creation, data science / analytics, and interaction with systems engineers, architects, scrum masters, product owners, and end users to deliver mission capabilities for USSTRATCOM. Lockheed Martin RMS at Offutt Air Force Base in Bellevue, Nebraska is seeking a full-time Software Engineers to join our Global Strike and Product Support 2 (GSPS2) engineering team working with USSTRATCOM in an Agile / DevSecOps environment. Join us and create Web-based and Java mission systems for the Intelligence, Global Strike, and Nuclear Planning communities. With our employees as our priority, you'll benefit from diverse career opportunities designed to propel development and boost agility. Flexible schedules, competitive pay, and comprehensive benefits enable you to live a healthy, fulfilling life at and outside of work. This opportunity is a gateway to advancing your career while strengthening our nation and protecting ourselves and our allies from next generation adversaries and their threats. What You Will Be Doing: The qualified candidate will work with experienced software engineers executing web development best practices, full-stack design patterns, and secure software techniques in the Rogue Blue Software (RBS) Software environment as part of the Integrated Strategic Planning and Analysis Network (ISPAN) Mission Planning and Application System (MPAS) systems. Responsibilities will include software development and design for Artificial Intelligence and Machine Learning systems, model creation, data science / analytics, and interaction with systems engineers, architects, scrum masters, product owners, and end users to deliver mission capabilities for USSTRATCOM. Basic Qualifications: • Bachelors degree from an accredited college in a related discipline, or equivalent experience/combined education, with 9 years of professional experience; or 7 years of professional experience with a related Masters degree. Considered an emerging authority. • Must be a US Citizen; this position will require a government security clearance. This position is located at a facility that requires special access • Experience with AI/ML: disciplines, domain programming languages (including Python), models, frameworks, and toolsets. • Experience analyzing domain problems and selecting and designing AI solutions. Desired Skills: • DevOps experience including CI/CD pipelines to build, test, deploy. • Experience with training deep neural networks and other AI algorithms • Experience with Java and JavaScript • Familiarity with high-performance computing • Familiarity interfacing with databases (Oracle, MongoDB) Security Clearance Statement: This position requires a government security clearance, you must be a US Citizen for consideration. Clearance Level: Top Secret Other Important Information You Should Know Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings. Ability to Work Remotely: Onsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility. Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits. Schedule for this Position: 4x10 hour day, 3 days off per week Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration. Join us at Lockheed Martin, where your mission is ours. Our customers tackle the hardest missions. Those that demand extraordinary amounts of courage, resilience and precision. They're dangerous. Critical. Sometimes they even provide an opportunity to change the world and save lives. Those are the missions we care about. As a leading technology innovation company, Lockheed Martin's vast team works with partners around the world to bring proven performance to our customers' toughest challenges. Lockheed Martin has employees based in many states throughout the U.S., and Internationally, with business locations in many nations and territories. Experience Level: Experienced Professional Business Unit: RMS Relocation Available: No Career Area: Artificial Intelligence Type: Full-Time Shift: First
Job ID: 699317BR Date posted: Jan. 06, 2026 Description: Who You Are: • Here, you are going to provide life-cycle services to advance mission in support of Cybersecurity and SIGINT midpoint collection. • You will modernize and sustain capabilities to include providing new features and enhancements to Front End Solutions systems. This will allow for products to work at-scale with processing of target communications across multiple types of Midpoint accesses. • You will propel the customer into the next phase of product suite modernization by leveraging advancements in technologies such as containerization, cloud capabilities, dataflows, and Artificial Intelligence/Machine Learning (AI/ML) capabilities. The Work: We are seeking professionals interested in • Software Development / Software Engineering For a complete list that changes weekly, use this term to search via the Lockheed Martin jobs website: Come join a company with incredible breadth and depth in the nature of programs and technologies we support that will never leave you bored or looking for your next assignment. Stop having to look for a new job with every rumor and whim of contract changes. What We're Doing: Lockheed Martin, Cyber & Intelligence invites you to step up to one of today's most daunting challenges: the use of advanced electronics to undermine our way of life. As a cyber security professional at Lockheed Martin, you'll protect the networks that our citizens and the world depend upon each minute: Financial assets. Healthcare information. Critical infrastructure. Hazardous materials. The uninterrupted flow of energy that keeps modern life moving. Here, you'll work with cybersecurity experts on the forefront of threat protection and proactive prevention. In this fast-paced, real-world environment, you'll draw on all your education and experience as well as the resources of Lockheed Martin to keep the threats at bay. Cyber Lockheed Martin Who We Are: Are you driven by the excitement of harnessing the latest advancements in artificial intelligence, machine learning, and data analytics to revolutionize the way we approach complex challenges? Do you find satisfaction in developing innovative solutions that leverage the power of technology to stay ahead of the curve? If so, join Lockheed Martin's team, where we're pioneering the modernization of technology and pushing the boundaries of what's possible. Our team is dedicated to pioneering the latest advancements and we're looking for someone who shares our commitment to excellence and innovation. Why Join Us: Your Health, Your Wealth, Your Life Our flexible schedules, competitive pay and comprehensive benefits enable you to live a healthy, fulfilling life at and outside of work. Learn more about Lockheed Martin's competitive and comprehensive benefits package. We support our employees, so they can support our mission. Plus, you may be eligible for up to a $25K sign on bonus as an external hire! We are proactively recruiting for a future need, with the expectation of a 2025 or early 2026 start date. This requisition is being used for contingent offers. Basic Qualifications: Current DoD Top Secret SCI with Polygraph SWE2: • A High School Diploma or GED plus twenty years (20) years of general software engineering experience OR • A Bachelor's degree in Computer Science or related discipline from an accredited college or university, plus fourteen (14) years of software engineering experience. Desired Skills: Capabilities; • Analyze user requirements to derive software design and performance requirements • Debug existing software and correct defects • Provide recommendations for improving documentation and software development process standards • Design and code new software or modify existing software to add new features • Integrate existing software into new or modified systems or operating environments • Develop simple data queries for existing or proposed databases or data repositories • Write or review software and system documentation Knowledge or experience in the following; • DevOps, Automated testing and CI/CD pipelines in Git • Container and Container Management i.e. Ansible, Docker, Kubernetes and Rancher • Modern software languages such as Go/Golang and micro-service architecture development • C+ or newer based on Boost (2 years) • Java (4 years) • Front End Development with Javascript and/or React or other frameworks • Python (2 years) • Linux Development Environment (1 year) • Circuit Switched and Mobile Telephony (5 years) • Reactor pattern architecture systems • Developing event stream processing systems • SQL (MySQL, MariaDB) and Elasticsearch • Dataflow tools and message queues • AI experience with regards to Human-Language Translation tools and techniques • RF algorithm development Clearance Level: TS/SCI w/Poly SP Other Important Information You Should Know Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings. Ability to Work Remotely: Onsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility. Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits. Schedule for this Position: 9x80 every other Friday off Pay Rate: The annual base salary range for this position in California, Massachusetts, and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington or Washington DC is $150,800 - $265,880. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year. This position is incentive plan eligible. Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration. Join us at Lockheed Martin, where your mission is ours. Our customers tackle the hardest missions. Those that demand extraordinary amounts of courage, resilience and precision. They're dangerous. Critical. Sometimes they even provide an opportunity to change the world and save lives. Those are the missions we care about. As a leading technology innovation company, Lockheed Martin's vast team works with partners around the world to bring proven performance to our customers' toughest challenges. Lockheed Martin has employees based in many states throughout the U.S., and Internationally, with business locations in many nations and territories. Experience Level: Experienced Professional Business Unit: RMS Relocation Available: Possible Career Area: Systems Engineering: Software Type: Task Order/IDIQ Shift: First
01/16/2026
Full time
Job ID: 699317BR Date posted: Jan. 06, 2026 Description: Who You Are: • Here, you are going to provide life-cycle services to advance mission in support of Cybersecurity and SIGINT midpoint collection. • You will modernize and sustain capabilities to include providing new features and enhancements to Front End Solutions systems. This will allow for products to work at-scale with processing of target communications across multiple types of Midpoint accesses. • You will propel the customer into the next phase of product suite modernization by leveraging advancements in technologies such as containerization, cloud capabilities, dataflows, and Artificial Intelligence/Machine Learning (AI/ML) capabilities. The Work: We are seeking professionals interested in • Software Development / Software Engineering For a complete list that changes weekly, use this term to search via the Lockheed Martin jobs website: Come join a company with incredible breadth and depth in the nature of programs and technologies we support that will never leave you bored or looking for your next assignment. Stop having to look for a new job with every rumor and whim of contract changes. What We're Doing: Lockheed Martin, Cyber & Intelligence invites you to step up to one of today's most daunting challenges: the use of advanced electronics to undermine our way of life. As a cyber security professional at Lockheed Martin, you'll protect the networks that our citizens and the world depend upon each minute: Financial assets. Healthcare information. Critical infrastructure. Hazardous materials. The uninterrupted flow of energy that keeps modern life moving. Here, you'll work with cybersecurity experts on the forefront of threat protection and proactive prevention. In this fast-paced, real-world environment, you'll draw on all your education and experience as well as the resources of Lockheed Martin to keep the threats at bay. Cyber Lockheed Martin Who We Are: Are you driven by the excitement of harnessing the latest advancements in artificial intelligence, machine learning, and data analytics to revolutionize the way we approach complex challenges? Do you find satisfaction in developing innovative solutions that leverage the power of technology to stay ahead of the curve? If so, join Lockheed Martin's team, where we're pioneering the modernization of technology and pushing the boundaries of what's possible. Our team is dedicated to pioneering the latest advancements and we're looking for someone who shares our commitment to excellence and innovation. Why Join Us: Your Health, Your Wealth, Your Life Our flexible schedules, competitive pay and comprehensive benefits enable you to live a healthy, fulfilling life at and outside of work. Learn more about Lockheed Martin's competitive and comprehensive benefits package. We support our employees, so they can support our mission. Plus, you may be eligible for up to a $25K sign on bonus as an external hire! We are proactively recruiting for a future need, with the expectation of a 2025 or early 2026 start date. This requisition is being used for contingent offers. Basic Qualifications: Current DoD Top Secret SCI with Polygraph SWE2: • A High School Diploma or GED plus twenty years (20) years of general software engineering experience OR • A Bachelor's degree in Computer Science or related discipline from an accredited college or university, plus fourteen (14) years of software engineering experience. Desired Skills: Capabilities; • Analyze user requirements to derive software design and performance requirements • Debug existing software and correct defects • Provide recommendations for improving documentation and software development process standards • Design and code new software or modify existing software to add new features • Integrate existing software into new or modified systems or operating environments • Develop simple data queries for existing or proposed databases or data repositories • Write or review software and system documentation Knowledge or experience in the following; • DevOps, Automated testing and CI/CD pipelines in Git • Container and Container Management i.e. Ansible, Docker, Kubernetes and Rancher • Modern software languages such as Go/Golang and micro-service architecture development • C+ or newer based on Boost (2 years) • Java (4 years) • Front End Development with Javascript and/or React or other frameworks • Python (2 years) • Linux Development Environment (1 year) • Circuit Switched and Mobile Telephony (5 years) • Reactor pattern architecture systems • Developing event stream processing systems • SQL (MySQL, MariaDB) and Elasticsearch • Dataflow tools and message queues • AI experience with regards to Human-Language Translation tools and techniques • RF algorithm development Clearance Level: TS/SCI w/Poly SP Other Important Information You Should Know Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings. Ability to Work Remotely: Onsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility. Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits. Schedule for this Position: 9x80 every other Friday off Pay Rate: The annual base salary range for this position in California, Massachusetts, and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington or Washington DC is $150,800 - $265,880. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year. This position is incentive plan eligible. Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration. Join us at Lockheed Martin, where your mission is ours. Our customers tackle the hardest missions. Those that demand extraordinary amounts of courage, resilience and precision. They're dangerous. Critical. Sometimes they even provide an opportunity to change the world and save lives. Those are the missions we care about. As a leading technology innovation company, Lockheed Martin's vast team works with partners around the world to bring proven performance to our customers' toughest challenges. Lockheed Martin has employees based in many states throughout the U.S., and Internationally, with business locations in many nations and territories. Experience Level: Experienced Professional Business Unit: RMS Relocation Available: Possible Career Area: Systems Engineering: Software Type: Task Order/IDIQ Shift: First
Job ID: 707629BR Date posted: Jan. 14, 2026 Description: Who You Are: Here, you are going to provide life-cycle services to advance mission in support of Cybersecurity and SIGINT midpoint collection. • You will modernize and sustain capabilities to include providing new features and enhancements to Front End Solutions systems. This will allow for products to work at-scale with processing of target communications across multiple types of Midpoint accesses. • You will propel the customer into the next phase of product suite modernization by leveraging advancements in technologies such as containerization, cloud capabilities, dataflows, and Artificial Intelligence/Machine Learning (AI/ML) capabilities. The Work: We are seeking professionals interested in a variety of responsibilities including; • Software development / Software engineering For a complete list that changes weekly, use this term to search via the Lockheed Martin jobs website: Come join a company with incredible breadth and depth in the nature of programs and technologies we support that will never leave you bored or looking for your next assignment. Stop having to look for a new job with every rumor and whim of contract changes. What We're Doing: Lockheed Martin, Cyber & Intelligence invites you to step up to one of today's most daunting challenges: the use of advanced electronics to undermine our way of life. As a cyber security professional at Lockheed Martin, you'll protect the networks that our citizens and the world depend upon each minute: Financial assets. Healthcare information. Critical infrastructure. Hazardous materials. The uninterrupted flow of energy that keeps modern life moving. Here, you'll work with cybersecurity experts on the forefront of threat protection and proactive prevention. In this fast-paced, real-world environment, you'll draw on all your education and experience as well as the resources of Lockheed Martin to keep the threats at bay. Cyber Lockheed Martin Who We Are: Are you driven by the excitement of harnessing the latest advancements in artificial intelligence, machine learning, and data analytics to revolutionize the way we approach complex challenges? Do you find satisfaction in developing innovative solutions that leverage the power of technology to stay ahead of the curve? If so, join Lockheed Martin's team, where we're pioneering the modernization of technology and pushing the boundaries of what's possible. Our team is dedicated to pioneering the latest advancements and we're looking for someone who shares our commitment to excellence and innovation. Why Join Us: Your Health, Your Wealth, Your Life Our flexible schedules, competitive pay and comprehensive benefits enable you to live a healthy, fulfilling life at and outside of work. Learn more about Lockheed Martin's competitive and comprehensive benefits package. We support our employees, so they can support our mission. Plus, you may be eligible for up to a $25K sign on bonus as an external hire! We are proactively recruiting for a future need, with the expectation of a 2025 or early 2026 start date. This requisition is being used for contingent offers. Basic Qualifications: • Current DoD Top Secret SCI with Polygraph SWE0: • A High School Diploma or GED plus eight (8) years of general software engineering experience OR • Bachelor's degree in Computer Science or related discipline from an accredited college or university. Desired Skills: Capabilities; • Analyze user requirements to derive software design and performance requirements • Debug existing software and correct defects • Provide recommendations for improving documentation and software development process standards • Design and code new software or modify existing software to add new features • Integrate existing software into new or modified systems or operating environments • Develop simple data queries for existing or proposed databases or data repositories • Write or review software and system documentation Knowledge or experience in the following; • DevOps, Automated testing and CI/CD pipelines in Git • Container and Container Management i.e. Ansible, Docker, Kubernetes and Rancher • Modern software languages such as Go/Golang and micro-service architecture development • C+ or newer based on Boost • Java • Front End Development with Javascript and/or React or other frameworks • Python • Linux Development Environment • Circuit Switched and Mobile Telephony • Reactor pattern architecture systems • Developing event stream processing systems • SQL (MySQL, MariaDB) and Elasticsearch • Dataflow tools and message queues • AI experience with regards to Human-Language Translation tools and techniques • RF algorithm development Clearance Level: TS/SCI w/Poly SP Other Important Information You Should Know Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings. Ability to Work Remotely: Onsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility. Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits. Schedule for this Position: 9x80 every other Friday off Pay Rate: The annual base salary range for this position in California, Massachusetts, and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington or Washington DC is $86,100 - $151,800. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year. This position is incentive plan eligible. Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration. Join us at Lockheed Martin, where your mission is ours. Our customers tackle the hardest missions. Those that demand extraordinary amounts of courage, resilience and precision. They're dangerous. Critical. Sometimes they even provide an opportunity to change the world and save lives. Those are the missions we care about. As a leading technology innovation company, Lockheed Martin's vast team works with partners around the world to bring proven performance to our customers' toughest challenges. Lockheed Martin has employees based in many states throughout the U.S., and Internationally, with business locations in many nations and territories. Experience Level: Experienced Professional Business Unit: RMS Relocation Available: Possible Career Area: Systems Engineering: Software Type: Task Order/IDIQ Shift: First
01/16/2026
Full time
Job ID: 707629BR Date posted: Jan. 14, 2026 Description: Who You Are: Here, you are going to provide life-cycle services to advance mission in support of Cybersecurity and SIGINT midpoint collection. • You will modernize and sustain capabilities to include providing new features and enhancements to Front End Solutions systems. This will allow for products to work at-scale with processing of target communications across multiple types of Midpoint accesses. • You will propel the customer into the next phase of product suite modernization by leveraging advancements in technologies such as containerization, cloud capabilities, dataflows, and Artificial Intelligence/Machine Learning (AI/ML) capabilities. The Work: We are seeking professionals interested in a variety of responsibilities including; • Software development / Software engineering For a complete list that changes weekly, use this term to search via the Lockheed Martin jobs website: Come join a company with incredible breadth and depth in the nature of programs and technologies we support that will never leave you bored or looking for your next assignment. Stop having to look for a new job with every rumor and whim of contract changes. What We're Doing: Lockheed Martin, Cyber & Intelligence invites you to step up to one of today's most daunting challenges: the use of advanced electronics to undermine our way of life. As a cyber security professional at Lockheed Martin, you'll protect the networks that our citizens and the world depend upon each minute: Financial assets. Healthcare information. Critical infrastructure. Hazardous materials. The uninterrupted flow of energy that keeps modern life moving. Here, you'll work with cybersecurity experts on the forefront of threat protection and proactive prevention. In this fast-paced, real-world environment, you'll draw on all your education and experience as well as the resources of Lockheed Martin to keep the threats at bay. Cyber Lockheed Martin Who We Are: Are you driven by the excitement of harnessing the latest advancements in artificial intelligence, machine learning, and data analytics to revolutionize the way we approach complex challenges? Do you find satisfaction in developing innovative solutions that leverage the power of technology to stay ahead of the curve? If so, join Lockheed Martin's team, where we're pioneering the modernization of technology and pushing the boundaries of what's possible. Our team is dedicated to pioneering the latest advancements and we're looking for someone who shares our commitment to excellence and innovation. Why Join Us: Your Health, Your Wealth, Your Life Our flexible schedules, competitive pay and comprehensive benefits enable you to live a healthy, fulfilling life at and outside of work. Learn more about Lockheed Martin's competitive and comprehensive benefits package. We support our employees, so they can support our mission. Plus, you may be eligible for up to a $25K sign on bonus as an external hire! We are proactively recruiting for a future need, with the expectation of a 2025 or early 2026 start date. This requisition is being used for contingent offers. Basic Qualifications: • Current DoD Top Secret SCI with Polygraph SWE0: • A High School Diploma or GED plus eight (8) years of general software engineering experience OR • Bachelor's degree in Computer Science or related discipline from an accredited college or university. Desired Skills: Capabilities; • Analyze user requirements to derive software design and performance requirements • Debug existing software and correct defects • Provide recommendations for improving documentation and software development process standards • Design and code new software or modify existing software to add new features • Integrate existing software into new or modified systems or operating environments • Develop simple data queries for existing or proposed databases or data repositories • Write or review software and system documentation Knowledge or experience in the following; • DevOps, Automated testing and CI/CD pipelines in Git • Container and Container Management i.e. Ansible, Docker, Kubernetes and Rancher • Modern software languages such as Go/Golang and micro-service architecture development • C+ or newer based on Boost • Java • Front End Development with Javascript and/or React or other frameworks • Python • Linux Development Environment • Circuit Switched and Mobile Telephony • Reactor pattern architecture systems • Developing event stream processing systems • SQL (MySQL, MariaDB) and Elasticsearch • Dataflow tools and message queues • AI experience with regards to Human-Language Translation tools and techniques • RF algorithm development Clearance Level: TS/SCI w/Poly SP Other Important Information You Should Know Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings. Ability to Work Remotely: Onsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility. Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits. Schedule for this Position: 9x80 every other Friday off Pay Rate: The annual base salary range for this position in California, Massachusetts, and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington or Washington DC is $86,100 - $151,800. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year. This position is incentive plan eligible. Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration. Join us at Lockheed Martin, where your mission is ours. Our customers tackle the hardest missions. Those that demand extraordinary amounts of courage, resilience and precision. They're dangerous. Critical. Sometimes they even provide an opportunity to change the world and save lives. Those are the missions we care about. As a leading technology innovation company, Lockheed Martin's vast team works with partners around the world to bring proven performance to our customers' toughest challenges. Lockheed Martin has employees based in many states throughout the U.S., and Internationally, with business locations in many nations and territories. Experience Level: Experienced Professional Business Unit: RMS Relocation Available: Possible Career Area: Systems Engineering: Software Type: Task Order/IDIQ Shift: First
Screen reader users may encounter difficulty with this site. For assistance with applying, please contact . If you have questions while submitting an application, please review these frequently asked questions .Current Employees and Students:If you are currently employed or enrolled as a student at The Ohio State University, please log in to Workday to use the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete the following: Ensure you have all necessary documents available when starting the application process. You can review the additional job description section on postings for documents that may be required. Prior to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title:Post Doctoral Scholar - AI(X) HubDepartment:ERIK Artificial Intelligence Hub About the AI(X) Hub The Research Scientist will join the AI(X) Hub at the Enterprise for Research, Innovation and Knowledge (ERIK) of The Ohio State University ( ). The AI(X) Hub at The Ohio State University is a university-wide initiative to accelerate research, innovation, and education in artificial intelligence. It spans 15 colleges and aims to unlock exponential possibilities by fusing AI with expertise across six strategic pillars: foundations, health, engineering and sciences, agriculture, cybersecurity, and trustworthy AI. Job Overview Conducts research and development efforts as a Post Doctoral Scholar at the AI(X) Hub. The postdoctoral researcher is expected to actively work with faculty members, research scientists, students, and industry and government partners. Responsibilities will include helping to chart new exciting directions for the Hub, working with domain experts, helping with proposal writing, and other reporting requirements. Required Qualifications Ph.D. in Electrical and Computer Engineering, Computer Science Engineering, Biomedical Engineering, Integrated Systems Engineering, Mathematics, Statistics, or equivalent terminal degree with deep knowledge of Artificial Intelligence and Machine Learning. Desired Qualifications Ability to help create scalable Artificial Intelligence workflows. Experience in working with inter-disciplinary research groups. How to Apply Interested candidates must attach the following materials to their application to be considered for this role: Cover letter Curriculum Vitae (CV) or resume Additional Information: The pay range for this position is $62,000 - $65,000. The offer for this position may fall within this range based on the selected candidate's skills, experience, and education; salary equity assessments; and the unit's budget. ERIK Overview: Join the Enterprise for Research, Innovation and Knowledge (ERIK) at The Ohio State University and become a part of a dynamic, forward-thinking team dedicated to pushing the boundaries of discovery and innovation. ERIK positions Ohio State to expand curiosity-driven research and creative expression, further develop our research community of faculty, staff, and students, and grow the innovation ecosystem to address big challenges and improve communities locally and globally. We are seeking passionate individuals who are committed to making a meaningful impact through collaboration, innovation, and excellence. To learn more about our mission and work, please visit AI(X) Hub Overview The new AI(X) Hub at the Ohio State University is designed to bring researchers, entrepreneurs and industry leaders to develop and use artificial intelligence in novel ways to drive innovation and accelerate discovery and successfully compete for large multidisciplinary projects. The goals of the Hub are to be (i) a cutting-edge resource for collaborative research with expertise across virtually every AI/ML domain; build a scalable shared infrastructure in the form of a university-wide computing cluster; develop robust data/model commons integrated with cutting-edge computing clusters that will help democratize access to high-performance computing and curated datasets; accelerate collaboration between researchers, entrepreneurs, and industry leaders to streamline the path from discovery to deployment, bringing ideas from the lab into the real world. Location:Pomerene Hall (0067)Position Type:Term (Fixed Term)Scheduled Hours:40Shift:First Shift Final candidates are subject to successful completion of a background check. A drug screen or physical may be required during the post offer process. Thank you for your interest in positions at The Ohio State University and Wexner Medical Center. Once you have applied, the most updated information on the status of your application can be found by visiting the Candidate Home section of this site. Please view your submitted applications by logging in and reviewing your status. For answers to additional questions please review the frequently asked questions . The university is an equal opportunity employer, including veterans and disability. As required by Ohio Revised Code section 3345.0216, Ohio State will: educate students by means of free, open and rigorous intellectual inquiry to seek the truth; equip students with the opportunity to develop intellectual skills to reach their own, informed conclusions; not require, favor, disfavor or prohibit speech or lawful assembly; create a community dedicated to an ethic of civil and free inquiry, which respects the autonomy of each member, supports individual capacities for growth and tolerates differences in opinion; treat all faculty, staff and students as individuals, hold them to equal standards and provide equality of opportunity with regard to race, ethnicity, religion, sex, sexual orientation, gender identity or gender expression.
01/15/2026
Full time
Screen reader users may encounter difficulty with this site. For assistance with applying, please contact . If you have questions while submitting an application, please review these frequently asked questions .Current Employees and Students:If you are currently employed or enrolled as a student at The Ohio State University, please log in to Workday to use the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete the following: Ensure you have all necessary documents available when starting the application process. You can review the additional job description section on postings for documents that may be required. Prior to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title:Post Doctoral Scholar - AI(X) HubDepartment:ERIK Artificial Intelligence Hub About the AI(X) Hub The Research Scientist will join the AI(X) Hub at the Enterprise for Research, Innovation and Knowledge (ERIK) of The Ohio State University ( ). The AI(X) Hub at The Ohio State University is a university-wide initiative to accelerate research, innovation, and education in artificial intelligence. It spans 15 colleges and aims to unlock exponential possibilities by fusing AI with expertise across six strategic pillars: foundations, health, engineering and sciences, agriculture, cybersecurity, and trustworthy AI. Job Overview Conducts research and development efforts as a Post Doctoral Scholar at the AI(X) Hub. The postdoctoral researcher is expected to actively work with faculty members, research scientists, students, and industry and government partners. Responsibilities will include helping to chart new exciting directions for the Hub, working with domain experts, helping with proposal writing, and other reporting requirements. Required Qualifications Ph.D. in Electrical and Computer Engineering, Computer Science Engineering, Biomedical Engineering, Integrated Systems Engineering, Mathematics, Statistics, or equivalent terminal degree with deep knowledge of Artificial Intelligence and Machine Learning. Desired Qualifications Ability to help create scalable Artificial Intelligence workflows. Experience in working with inter-disciplinary research groups. How to Apply Interested candidates must attach the following materials to their application to be considered for this role: Cover letter Curriculum Vitae (CV) or resume Additional Information: The pay range for this position is $62,000 - $65,000. The offer for this position may fall within this range based on the selected candidate's skills, experience, and education; salary equity assessments; and the unit's budget. ERIK Overview: Join the Enterprise for Research, Innovation and Knowledge (ERIK) at The Ohio State University and become a part of a dynamic, forward-thinking team dedicated to pushing the boundaries of discovery and innovation. ERIK positions Ohio State to expand curiosity-driven research and creative expression, further develop our research community of faculty, staff, and students, and grow the innovation ecosystem to address big challenges and improve communities locally and globally. We are seeking passionate individuals who are committed to making a meaningful impact through collaboration, innovation, and excellence. To learn more about our mission and work, please visit AI(X) Hub Overview The new AI(X) Hub at the Ohio State University is designed to bring researchers, entrepreneurs and industry leaders to develop and use artificial intelligence in novel ways to drive innovation and accelerate discovery and successfully compete for large multidisciplinary projects. The goals of the Hub are to be (i) a cutting-edge resource for collaborative research with expertise across virtually every AI/ML domain; build a scalable shared infrastructure in the form of a university-wide computing cluster; develop robust data/model commons integrated with cutting-edge computing clusters that will help democratize access to high-performance computing and curated datasets; accelerate collaboration between researchers, entrepreneurs, and industry leaders to streamline the path from discovery to deployment, bringing ideas from the lab into the real world. Location:Pomerene Hall (0067)Position Type:Term (Fixed Term)Scheduled Hours:40Shift:First Shift Final candidates are subject to successful completion of a background check. A drug screen or physical may be required during the post offer process. Thank you for your interest in positions at The Ohio State University and Wexner Medical Center. Once you have applied, the most updated information on the status of your application can be found by visiting the Candidate Home section of this site. Please view your submitted applications by logging in and reviewing your status. For answers to additional questions please review the frequently asked questions . The university is an equal opportunity employer, including veterans and disability. As required by Ohio Revised Code section 3345.0216, Ohio State will: educate students by means of free, open and rigorous intellectual inquiry to seek the truth; equip students with the opportunity to develop intellectual skills to reach their own, informed conclusions; not require, favor, disfavor or prohibit speech or lawful assembly; create a community dedicated to an ethic of civil and free inquiry, which respects the autonomy of each member, supports individual capacities for growth and tolerates differences in opinion; treat all faculty, staff and students as individuals, hold them to equal standards and provide equality of opportunity with regard to race, ethnicity, religion, sex, sexual orientation, gender identity or gender expression.
Screen reader users may encounter difficulty with this site. For assistance with applying, please contact . If you have questions while submitting an application, please review these frequently asked questions .Current Employees and Students:If you are currently employed or enrolled as a student at The Ohio State University, please log in to Workday to use the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete the following: Ensure you have all necessary documents available when starting the application process. You can review the additional job description section on postings for documents that may be required. Prior to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title:Post Doctoral Scholar - AI for HealthDepartment:ERIK Artificial Intelligence Hub About the AI(X) Hub The Research Scientist will join the AI(X) Hub at the Enterprise for Research, Innovation and Knowledge (ERIK) of The Ohio State University ( ). The AI(X) Hub at The Ohio State University is a university-wide initiative to accelerate research, innovation, and education in artificial intelligence. It spans 15 colleges and aims to unlock exponential possibilities by fusing AI with expertise across six strategic pillars: foundations, health, engineering and sciences, agriculture, cybersecurity, and trustworthy AI. Job Overview Conducts research and development efforts as a Post Doctoral Scholar at the AI(X) Hub. The postdoctoral researcher is expected to actively work with faculty members, research scientists, students, and industry and government partners. Responsibilities will include helping to chart exciting new directions for the Hub, working with domain experts, helping with proposal writing, and other reporting requirements on AI for Health research and projects. Required Qualifications Ph.D. in Biomedical Engineering, Computer Science, Electrical and Computer Engineering, Integrated Systems Engineering, Physics, or equivalent computing-centric disciplines with demonstrated experience in health sciences. Inter-disciplinary research experience with a focus on health sciences and biomedicine and artificial intelligence (including machine learning). Desired Qualifications Publications in health sciences and biomedical journals. Demonstrable interdisciplinary research experience. Deep understanding of machine learning (ML) methods along with other classical computational and statistical tools. Experience of deploying ML workflows at scale on high-performance computing clusters. Extensive biomedical and health sciences knowledge. Experience in grant writing and development for health-related opportunities. How to Apply Interested candidates must attach the following materials to their application to be considered for this role: Cover letter Curriculum Vitae (CV) or resume Additional Information: The pay range for this position is $62,000 - $65,000. The offer for this position will fall within this range based on the selected candidate's skills, experience, and education; salary equity assessments; and the unit's budget. ERIK Overview: Join the Enterprise for Research, Innovation and Knowledge (ERIK) at The Ohio State University and become a part of a dynamic, forward-thinking team dedicated to pushing the boundaries of discovery and innovation. ERIK positions Ohio State to expand curiosity-driven research and creative expression, further develop our research community of faculty, staff, and students, and grow the innovation ecosystem to address big challenges and improve communities locally and globally. We are seeking passionate individuals who are committed to making a meaningful impact through collaboration, innovation, and excellence. To learn more about our mission and work, please visit AI(X) Hub Overview The new AI(X) Hub at the Ohio State University is designed to bring researchers, entrepreneurs and industry leaders to develop and use artificial intelligence in novel ways to drive innovation and accelerate discovery and successfully compete for large multidisciplinary projects. The goals of the Hub are to be (i) a cutting-edge resource for collaborative research with expertise across virtually every AI/ML domain; build a scalable shared infrastructure in the form of a university-wide computing cluster; develop robust data/model commons integrated with cutting-edge computing clusters that will help democratize access to high-performance computing and curated datasets; accelerate collaboration between researchers, entrepreneurs, and industry leaders to streamline the path from discovery to deployment, bringing ideas from the lab into the real world. Location:Pomerene Hall (0067)Position Type:Term (Fixed Term)Scheduled Hours:40Shift:First Shift Final candidates are subject to successful completion of a background check. A drug screen or physical may be required during the post offer process. Thank you for your interest in positions at The Ohio State University and Wexner Medical Center. Once you have applied, the most updated information on the status of your application can be found by visiting the Candidate Home section of this site. Please view your submitted applications by logging in and reviewing your status. For answers to additional questions please review the frequently asked questions . The university is an equal opportunity employer, including veterans and disability. As required by Ohio Revised Code section 3345.0216, Ohio State will: educate students by means of free, open and rigorous intellectual inquiry to seek the truth; equip students with the opportunity to develop intellectual skills to reach their own, informed conclusions; not require, favor, disfavor or prohibit speech or lawful assembly; create a community dedicated to an ethic of civil and free inquiry, which respects the autonomy of each member, supports individual capacities for growth and tolerates differences in opinion; treat all faculty, staff and students as individuals, hold them to equal standards and provide equality of opportunity with regard to race, ethnicity, religion, sex, sexual orientation, gender identity or gender expression.
01/15/2026
Full time
Screen reader users may encounter difficulty with this site. For assistance with applying, please contact . If you have questions while submitting an application, please review these frequently asked questions .Current Employees and Students:If you are currently employed or enrolled as a student at The Ohio State University, please log in to Workday to use the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete the following: Ensure you have all necessary documents available when starting the application process. You can review the additional job description section on postings for documents that may be required. Prior to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title:Post Doctoral Scholar - AI for HealthDepartment:ERIK Artificial Intelligence Hub About the AI(X) Hub The Research Scientist will join the AI(X) Hub at the Enterprise for Research, Innovation and Knowledge (ERIK) of The Ohio State University ( ). The AI(X) Hub at The Ohio State University is a university-wide initiative to accelerate research, innovation, and education in artificial intelligence. It spans 15 colleges and aims to unlock exponential possibilities by fusing AI with expertise across six strategic pillars: foundations, health, engineering and sciences, agriculture, cybersecurity, and trustworthy AI. Job Overview Conducts research and development efforts as a Post Doctoral Scholar at the AI(X) Hub. The postdoctoral researcher is expected to actively work with faculty members, research scientists, students, and industry and government partners. Responsibilities will include helping to chart exciting new directions for the Hub, working with domain experts, helping with proposal writing, and other reporting requirements on AI for Health research and projects. Required Qualifications Ph.D. in Biomedical Engineering, Computer Science, Electrical and Computer Engineering, Integrated Systems Engineering, Physics, or equivalent computing-centric disciplines with demonstrated experience in health sciences. Inter-disciplinary research experience with a focus on health sciences and biomedicine and artificial intelligence (including machine learning). Desired Qualifications Publications in health sciences and biomedical journals. Demonstrable interdisciplinary research experience. Deep understanding of machine learning (ML) methods along with other classical computational and statistical tools. Experience of deploying ML workflows at scale on high-performance computing clusters. Extensive biomedical and health sciences knowledge. Experience in grant writing and development for health-related opportunities. How to Apply Interested candidates must attach the following materials to their application to be considered for this role: Cover letter Curriculum Vitae (CV) or resume Additional Information: The pay range for this position is $62,000 - $65,000. The offer for this position will fall within this range based on the selected candidate's skills, experience, and education; salary equity assessments; and the unit's budget. ERIK Overview: Join the Enterprise for Research, Innovation and Knowledge (ERIK) at The Ohio State University and become a part of a dynamic, forward-thinking team dedicated to pushing the boundaries of discovery and innovation. ERIK positions Ohio State to expand curiosity-driven research and creative expression, further develop our research community of faculty, staff, and students, and grow the innovation ecosystem to address big challenges and improve communities locally and globally. We are seeking passionate individuals who are committed to making a meaningful impact through collaboration, innovation, and excellence. To learn more about our mission and work, please visit AI(X) Hub Overview The new AI(X) Hub at the Ohio State University is designed to bring researchers, entrepreneurs and industry leaders to develop and use artificial intelligence in novel ways to drive innovation and accelerate discovery and successfully compete for large multidisciplinary projects. The goals of the Hub are to be (i) a cutting-edge resource for collaborative research with expertise across virtually every AI/ML domain; build a scalable shared infrastructure in the form of a university-wide computing cluster; develop robust data/model commons integrated with cutting-edge computing clusters that will help democratize access to high-performance computing and curated datasets; accelerate collaboration between researchers, entrepreneurs, and industry leaders to streamline the path from discovery to deployment, bringing ideas from the lab into the real world. Location:Pomerene Hall (0067)Position Type:Term (Fixed Term)Scheduled Hours:40Shift:First Shift Final candidates are subject to successful completion of a background check. A drug screen or physical may be required during the post offer process. Thank you for your interest in positions at The Ohio State University and Wexner Medical Center. Once you have applied, the most updated information on the status of your application can be found by visiting the Candidate Home section of this site. Please view your submitted applications by logging in and reviewing your status. For answers to additional questions please review the frequently asked questions . The university is an equal opportunity employer, including veterans and disability. As required by Ohio Revised Code section 3345.0216, Ohio State will: educate students by means of free, open and rigorous intellectual inquiry to seek the truth; equip students with the opportunity to develop intellectual skills to reach their own, informed conclusions; not require, favor, disfavor or prohibit speech or lawful assembly; create a community dedicated to an ethic of civil and free inquiry, which respects the autonomy of each member, supports individual capacities for growth and tolerates differences in opinion; treat all faculty, staff and students as individuals, hold them to equal standards and provide equality of opportunity with regard to race, ethnicity, religion, sex, sexual orientation, gender identity or gender expression.
Data Science Analyst 2 Job ID: 292361 Location: Augusta University Full/Part Time: Full Time Regular/Temporary: About Us Augusta University is Georgia's innovation center for education and health care, training the next generation of innovators, leaders, and healthcare providers in classrooms and clinics on four campuses in Augusta and locations across the state. More than 12,000 students choose Augusta for educational opportunities at the center of Georgia's cybersecurity hub and experiential learning that blends arts and application, humanities, and the health sciences. Augusta is home to Georgia's only public academic health center, where groundbreaking research is creating a healthier, more prosperous Georgia, and world-class clinicians are bringing the medicine of tomorrow to patient care today. Our mission and values make Augusta University an institution like no other. Augusta University's distinct characteristics in education and research include real-world experiences and community engagement, as well as a culture of building community, corporate and government partnerships that address health, security, economic and societal concerns locally and across the state. The University System of Georgia is comprised of our 26 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found online at Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found online at . Location Augusta University Our Health Sciences Campus: th Street, Augusta, GA 30912 Our Summerville Campus: 2500 Walton Way, Augusta, GA 30904 College/Department Information The Medical College of Georgia (MCG) is one of the nation's largest medical schools by class size, with 304 students per class. The MCG educational experience is anchored by the main campus in Augusta, with regional clinical campuses for third- and fourth-year students across the state, and two four-year campuses located in Athens (in partnership with the University of Georgia) and in Savannah (in partnership with Georgia Southern University). MCG's expanding partnerships with physicians and hospitals across Georgia currently provide more than 350 sites where students can experience the full spectrum of medicine, from complex care hospitals to small-town solo practices. MCG and its teaching hospitals also provide postgraduate education to approximately 575 residents and fellows in 50 different Accreditation Council for Graduate Medical Education-approved programs. Our researchers and clinicians focus on what most impacts the health of Georgia's and America's children and adults, including cardiovascular biology and disease, cancer, neurosciences and behavioral sciences, public and preventive health, regenerative and reparative medicine, personalized medicine and genomics. Our physician faculty also share their expertise with physicians and patients at about 100 clinics and hospitals statewide. Job Summary The Department of AI & Health seeks an experienced Data Scientist 2 to join our research unit and provide technical leadership in advancing our computational health research capabilities. This mid-level position combines hands-on data science expertise with team leadership responsibilities, playing a pivotal role in establishing our department as a leader in AI-driven health research. You will lead complex research projects involving medical imaging, electronic health records, genomics, and real-time patient monitoring data while mentoring team members and contributing to our growing portfolio of high-impact research in predictive diagnostics, personalized medicine, and clinical decision support systems. Your leadership will directly enable grant acquisition, accelerate publication output in top-tier journals, attract doctoral students and postdoctoral fellows, and establish valuable partnerships with clinical departments and external collaborators seeking robust computational capabilities. Responsibilities The responsibilities include, but are not limited to: Application Development and System Design Utilizes a solid understanding of fundamental design concepts during all stages within the Software Development Life Cycle (SDLC). Shared responsibility with team lead for the Design stage within the SDLC. Shared responsibility with junior developers for the following stages within the SDLC: Construction, Testing, Debugging, and Deployment. Analyzes and identifies solution-wide testing requirements. Investigates systematic and operational issues and identifies potential solutions. Flexibility with both SysOps and DevOps opportunities. Leverages advanced knowledge of Microsoft, open-source, and web standard technologies such as ASP. NET Web Forms, ASP.NET MVC, C#, CSS, HTML, JavaScript, jQuery, and T-SQL to design and develop technical solutions to new and existing problems with varying scale and complexity utilizing fundamental design concepts and department standards to support work at the intersection of longitudinal machine learning, multi-modal analysis, clinical informatics, and population health. Application Implementation and Maintenance Develops and maintains applications and databases by working with the team lead in evaluating client needs, analyzing requirements, and developing software systems across multiple projects. Arranges project requirements in programming sequence by analyzing requirements. Prepares workflow documents using knowledge of client capabilities, subject matter, development technologies, and logic. Confirms program operation, integrity, consistency, and standards compliance with each platform necessitated by the client. Communication Identifies and transcribes client requirements and requests using interpersonal skills and ability to translate to all technical or non-technical audiences. Provides design and requirements for user guide documentation and validates its content. Oversight of customer service tasks such as user training, user queries, operational problems, and system problems. Enhance staff accomplishments and competence by planning delivery of solutions, answering technical and procedural questions, teaching improved processes, and conveying general accessibility. Supervision Serves as team lead to junior application developers. Required Qualifications Bachelor's degree from an accredited college or university in Data Science, Computer Science, Biomedical Informatics, Statistics, Engineering, or a related field with three years related experience. Preferred Qualifications Prior involvement in healthcare, academic operations, or public sector analytics. Familiarity with EHR systems (Epic, Encompass) or academic admissions systems (AMCAS). Knowledge, Skills, & Abilities Ability to maintain confidentiality. Detail-oriented. Excellent interpersonal, verbal, and written communication skills. Proficient in Microsoft Office and other computer software/databases. Shift/Salary/Benefits Shift: Days/M-F (work outside of normal business hours will likely be required of an employee in an exempt level position) Pay Band: B11 Salary Range: $56,600/annually - $72,200/annually Salary to be commensurate with qualifications of the selected candidate within the established range (generally minimum-midpoint) of the position. Recruitment Period: 11/21/25 - Until Filled Augusta University offers a variety of benefits to full-time benefits-eligible employees and some of our half-time (or more) employees. Benefits that may be elected could include health insurance, dental insurance, life insurance, Teachers Retirement System (or Optional Retirement Plan), as well as earned vacation time, sick leave, and 13 paid holidays. Also, our full-time employees who have been employed with us successfully for more than 6 months can be considered for the Tuition Assistance Program. Consider applying with us today! Conditions of Employment All selected candidates are required to successfully pass a Background Check review prior to starting with Augusta University. If applicable for the specific position based on the duties: the candidate will also need to have a credit check completed for Positions of Trust and or approved departmental Purchase Card usage. Motor vehicle reports are required for positions that are required to drive an Augusta University vehicle. For Faculty Hires: Final candidates will be required to provide proof of completed academic degree(s) as well as post-secondary coursework in the form of original transcript(s). Those candidates trained by a foreign institution will also be required to provide an educational/credential evaluation. All employees are responsible for ensuring the confidentiality, availability, and integrity of sensitive patient, student, employee . click apply for full job details
01/14/2026
Full time
Data Science Analyst 2 Job ID: 292361 Location: Augusta University Full/Part Time: Full Time Regular/Temporary: About Us Augusta University is Georgia's innovation center for education and health care, training the next generation of innovators, leaders, and healthcare providers in classrooms and clinics on four campuses in Augusta and locations across the state. More than 12,000 students choose Augusta for educational opportunities at the center of Georgia's cybersecurity hub and experiential learning that blends arts and application, humanities, and the health sciences. Augusta is home to Georgia's only public academic health center, where groundbreaking research is creating a healthier, more prosperous Georgia, and world-class clinicians are bringing the medicine of tomorrow to patient care today. Our mission and values make Augusta University an institution like no other. Augusta University's distinct characteristics in education and research include real-world experiences and community engagement, as well as a culture of building community, corporate and government partnerships that address health, security, economic and societal concerns locally and across the state. The University System of Georgia is comprised of our 26 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found online at Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found online at . Location Augusta University Our Health Sciences Campus: th Street, Augusta, GA 30912 Our Summerville Campus: 2500 Walton Way, Augusta, GA 30904 College/Department Information The Medical College of Georgia (MCG) is one of the nation's largest medical schools by class size, with 304 students per class. The MCG educational experience is anchored by the main campus in Augusta, with regional clinical campuses for third- and fourth-year students across the state, and two four-year campuses located in Athens (in partnership with the University of Georgia) and in Savannah (in partnership with Georgia Southern University). MCG's expanding partnerships with physicians and hospitals across Georgia currently provide more than 350 sites where students can experience the full spectrum of medicine, from complex care hospitals to small-town solo practices. MCG and its teaching hospitals also provide postgraduate education to approximately 575 residents and fellows in 50 different Accreditation Council for Graduate Medical Education-approved programs. Our researchers and clinicians focus on what most impacts the health of Georgia's and America's children and adults, including cardiovascular biology and disease, cancer, neurosciences and behavioral sciences, public and preventive health, regenerative and reparative medicine, personalized medicine and genomics. Our physician faculty also share their expertise with physicians and patients at about 100 clinics and hospitals statewide. Job Summary The Department of AI & Health seeks an experienced Data Scientist 2 to join our research unit and provide technical leadership in advancing our computational health research capabilities. This mid-level position combines hands-on data science expertise with team leadership responsibilities, playing a pivotal role in establishing our department as a leader in AI-driven health research. You will lead complex research projects involving medical imaging, electronic health records, genomics, and real-time patient monitoring data while mentoring team members and contributing to our growing portfolio of high-impact research in predictive diagnostics, personalized medicine, and clinical decision support systems. Your leadership will directly enable grant acquisition, accelerate publication output in top-tier journals, attract doctoral students and postdoctoral fellows, and establish valuable partnerships with clinical departments and external collaborators seeking robust computational capabilities. Responsibilities The responsibilities include, but are not limited to: Application Development and System Design Utilizes a solid understanding of fundamental design concepts during all stages within the Software Development Life Cycle (SDLC). Shared responsibility with team lead for the Design stage within the SDLC. Shared responsibility with junior developers for the following stages within the SDLC: Construction, Testing, Debugging, and Deployment. Analyzes and identifies solution-wide testing requirements. Investigates systematic and operational issues and identifies potential solutions. Flexibility with both SysOps and DevOps opportunities. Leverages advanced knowledge of Microsoft, open-source, and web standard technologies such as ASP. NET Web Forms, ASP.NET MVC, C#, CSS, HTML, JavaScript, jQuery, and T-SQL to design and develop technical solutions to new and existing problems with varying scale and complexity utilizing fundamental design concepts and department standards to support work at the intersection of longitudinal machine learning, multi-modal analysis, clinical informatics, and population health. Application Implementation and Maintenance Develops and maintains applications and databases by working with the team lead in evaluating client needs, analyzing requirements, and developing software systems across multiple projects. Arranges project requirements in programming sequence by analyzing requirements. Prepares workflow documents using knowledge of client capabilities, subject matter, development technologies, and logic. Confirms program operation, integrity, consistency, and standards compliance with each platform necessitated by the client. Communication Identifies and transcribes client requirements and requests using interpersonal skills and ability to translate to all technical or non-technical audiences. Provides design and requirements for user guide documentation and validates its content. Oversight of customer service tasks such as user training, user queries, operational problems, and system problems. Enhance staff accomplishments and competence by planning delivery of solutions, answering technical and procedural questions, teaching improved processes, and conveying general accessibility. Supervision Serves as team lead to junior application developers. Required Qualifications Bachelor's degree from an accredited college or university in Data Science, Computer Science, Biomedical Informatics, Statistics, Engineering, or a related field with three years related experience. Preferred Qualifications Prior involvement in healthcare, academic operations, or public sector analytics. Familiarity with EHR systems (Epic, Encompass) or academic admissions systems (AMCAS). Knowledge, Skills, & Abilities Ability to maintain confidentiality. Detail-oriented. Excellent interpersonal, verbal, and written communication skills. Proficient in Microsoft Office and other computer software/databases. Shift/Salary/Benefits Shift: Days/M-F (work outside of normal business hours will likely be required of an employee in an exempt level position) Pay Band: B11 Salary Range: $56,600/annually - $72,200/annually Salary to be commensurate with qualifications of the selected candidate within the established range (generally minimum-midpoint) of the position. Recruitment Period: 11/21/25 - Until Filled Augusta University offers a variety of benefits to full-time benefits-eligible employees and some of our half-time (or more) employees. Benefits that may be elected could include health insurance, dental insurance, life insurance, Teachers Retirement System (or Optional Retirement Plan), as well as earned vacation time, sick leave, and 13 paid holidays. Also, our full-time employees who have been employed with us successfully for more than 6 months can be considered for the Tuition Assistance Program. Consider applying with us today! Conditions of Employment All selected candidates are required to successfully pass a Background Check review prior to starting with Augusta University. If applicable for the specific position based on the duties: the candidate will also need to have a credit check completed for Positions of Trust and or approved departmental Purchase Card usage. Motor vehicle reports are required for positions that are required to drive an Augusta University vehicle. For Faculty Hires: Final candidates will be required to provide proof of completed academic degree(s) as well as post-secondary coursework in the form of original transcript(s). Those candidates trained by a foreign institution will also be required to provide an educational/credential evaluation. All employees are responsible for ensuring the confidentiality, availability, and integrity of sensitive patient, student, employee . click apply for full job details
Posting Number: G/R31704P Working Title: Postdoctoral Associate - AI Systems Department: COE-AI in STEM Education About the University of Georgia: Chartered by the state of Georgia in 1785, the University of Georgia is the birthplace of public higher education in America and is the state's flagship university () . The proof is in our more than 240 years of academic and professional achievements and our continual commitment to higher education. UGA is currently ranked among the top 20 public universities in U.S. News & World Report. The University's main campus is located in Athens, approximately 65 miles northeast of Atlanta, with extended campuses in Atlanta, Griffin, Gwinnett, and Tifton. UGA employs approximately 3,100 faculty and more than 7,700 full-time staff. The University's enrollment exceeds 41,000 students including over 31,000 undergraduates and over 10,000 graduate and professional students. Academic programs reside in 19 schools and colleges, including our newly established School of Medicine. About the College/Unit/Department: As the 4th largest public college of education in the country and the 3rd largest college at UGA, the Mary Frances Early College of Education (MFE COE) improves the lives of residents of Georgia and beyond through our instruction, research, and service. The MFE COE is a comprehensive college with disciplines focused on teacher preparation, counseling and human development, communication sciences, human movement sciences, career development, student affairs, and educational administration and policy. We place significant emphasis on graduate education with approximately 40% of our students at the graduate level, making us the second largest college at UGA with respect to graduate education. College/Unit/Department website: Employment Type: Employee Advertised Salary: Commensurate with Experience Anticipated Start Date: 02/02/2026 Posting Date: 12/15/2025 Open Until Filled: Yes Special Instructions to Applicants: Review of applications will begin immediately and continue until the position is filled. Applicants are asked to submit their CV, a statement of their research interests, and a list of references. References of only the finalists will be checked. Location of Vacancy: Athens Area EOO Statement: The University of Georgia is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, disability, genetic information, national origin, race, religion, sex, or veteran status or other protected status. Persons needing accommodations or assistance with the accessibility of materials related to this search are encouraged to contact Central HR ( ). USG Core Values Statement: The University System of Georgia is comprised of our 26 institutions of higher education and learning, as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found online at . Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found online at . Duties/Responsibilities: Lead or co-lead software engineering efforts for generative AI-enabled educational tools, including prototyping, model integration, system testing, and iterative refinement Establish and maintain scholarly research and publication Support the Director in technical aspects of Center operations related to AI, computer science, and software engineering Mentor graduate students working on AI development, data science, and software engineering in education Percentage of time: 100 Classification Title: Post-Doctoral Associate AD FLSA: Exempt FTE: 1.0 Position Summary: The AI4STEM Education Center at the University of Georgia's (UGA) Mary Frances Early College of Education invites applications for a Postdoctoral Research Associate position with a focus on the development of AI systems and data science for STEM education to begin February 2026. The position is a 12-month renewable full-time appointment based on the Athens campus. The successful candidate will be working with Dr. Xiaoming Zhai, Associate Professor and Director of the AI4STEM Education Center, and other collaborators on several federally funded grants from the National Science Foundation and the U.S. Department of Education. The candidate will actively contribute to the design, development, and evaluation of AI applications to advance computing, AI literacy, data science, and STEM education across K-12 and higher education. Relevant/Preferred Education, Experience, Licensure, Certification in Position: A doctorate in computer science, data science, education with a computing focus, or a closely related field by the start date Knowledge, Skills, Abilities and/or Competencies : Demonstrated expertise developing, implementing, and evaluating software systems that use machine learning, natural language processing, generative AI, and/or computer vision Proficiency in modern software engineering tools, workflows, and languages (e.g., Python, PyTorch/TensorFlow) High-quality publications on AI for STEM education or AI-enabled learning technologies Ability to work on campus and engage collaboratively with interdisciplinary teams Strong commitment to developing AI systems and data science skills to improve STEM education. Ability to translate complex AI tools and concepts into accessible learning experiences for teachers and students An established, active record of scholarship and productivity Strong communication, organization, responsiveness, and collaborative teamwork skills Is this a Position of Trust?: No Does this position have operation, access, or control of financial resources? : No Does this position require a P-Card? : No Is having a P-Card an essential function of this position? : No Is driving a requirement of this position?: No Does this position have direct interaction or care of children under the age of 18 or direct patient care?: No Does this position have Security Access (e.g., public safety, IT security, personnel records, patient records, or access to chemicals and medications): No Background Investigation Policy: Offers of employment are contingent upon completion of a background investigation including, a criminal background check demonstrating your eligibility for employment with the University of Georgia; confirmation of the credentials and employment history reflected in your application materials (including reference checks) as they relate to the job-based requirements of the position applied for; and, if applicable, a satisfactory credit check. You may also be subject to a pre-employment drug test for positions with high-risk responsibilities, if applicable. Please visit the UGA Background Check website . Contact Details: For questions concerning this position or recruitment progression, please refer to the Recruitment Contact listed below. Recruitment Contact Name: Christina Chhin Recruitment Contact Email:
01/14/2026
Full time
Posting Number: G/R31704P Working Title: Postdoctoral Associate - AI Systems Department: COE-AI in STEM Education About the University of Georgia: Chartered by the state of Georgia in 1785, the University of Georgia is the birthplace of public higher education in America and is the state's flagship university () . The proof is in our more than 240 years of academic and professional achievements and our continual commitment to higher education. UGA is currently ranked among the top 20 public universities in U.S. News & World Report. The University's main campus is located in Athens, approximately 65 miles northeast of Atlanta, with extended campuses in Atlanta, Griffin, Gwinnett, and Tifton. UGA employs approximately 3,100 faculty and more than 7,700 full-time staff. The University's enrollment exceeds 41,000 students including over 31,000 undergraduates and over 10,000 graduate and professional students. Academic programs reside in 19 schools and colleges, including our newly established School of Medicine. About the College/Unit/Department: As the 4th largest public college of education in the country and the 3rd largest college at UGA, the Mary Frances Early College of Education (MFE COE) improves the lives of residents of Georgia and beyond through our instruction, research, and service. The MFE COE is a comprehensive college with disciplines focused on teacher preparation, counseling and human development, communication sciences, human movement sciences, career development, student affairs, and educational administration and policy. We place significant emphasis on graduate education with approximately 40% of our students at the graduate level, making us the second largest college at UGA with respect to graduate education. College/Unit/Department website: Employment Type: Employee Advertised Salary: Commensurate with Experience Anticipated Start Date: 02/02/2026 Posting Date: 12/15/2025 Open Until Filled: Yes Special Instructions to Applicants: Review of applications will begin immediately and continue until the position is filled. Applicants are asked to submit their CV, a statement of their research interests, and a list of references. References of only the finalists will be checked. Location of Vacancy: Athens Area EOO Statement: The University of Georgia is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, disability, genetic information, national origin, race, religion, sex, or veteran status or other protected status. Persons needing accommodations or assistance with the accessibility of materials related to this search are encouraged to contact Central HR ( ). USG Core Values Statement: The University System of Georgia is comprised of our 26 institutions of higher education and learning, as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found online at . Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found online at . Duties/Responsibilities: Lead or co-lead software engineering efforts for generative AI-enabled educational tools, including prototyping, model integration, system testing, and iterative refinement Establish and maintain scholarly research and publication Support the Director in technical aspects of Center operations related to AI, computer science, and software engineering Mentor graduate students working on AI development, data science, and software engineering in education Percentage of time: 100 Classification Title: Post-Doctoral Associate AD FLSA: Exempt FTE: 1.0 Position Summary: The AI4STEM Education Center at the University of Georgia's (UGA) Mary Frances Early College of Education invites applications for a Postdoctoral Research Associate position with a focus on the development of AI systems and data science for STEM education to begin February 2026. The position is a 12-month renewable full-time appointment based on the Athens campus. The successful candidate will be working with Dr. Xiaoming Zhai, Associate Professor and Director of the AI4STEM Education Center, and other collaborators on several federally funded grants from the National Science Foundation and the U.S. Department of Education. The candidate will actively contribute to the design, development, and evaluation of AI applications to advance computing, AI literacy, data science, and STEM education across K-12 and higher education. Relevant/Preferred Education, Experience, Licensure, Certification in Position: A doctorate in computer science, data science, education with a computing focus, or a closely related field by the start date Knowledge, Skills, Abilities and/or Competencies : Demonstrated expertise developing, implementing, and evaluating software systems that use machine learning, natural language processing, generative AI, and/or computer vision Proficiency in modern software engineering tools, workflows, and languages (e.g., Python, PyTorch/TensorFlow) High-quality publications on AI for STEM education or AI-enabled learning technologies Ability to work on campus and engage collaboratively with interdisciplinary teams Strong commitment to developing AI systems and data science skills to improve STEM education. Ability to translate complex AI tools and concepts into accessible learning experiences for teachers and students An established, active record of scholarship and productivity Strong communication, organization, responsiveness, and collaborative teamwork skills Is this a Position of Trust?: No Does this position have operation, access, or control of financial resources? : No Does this position require a P-Card? : No Is having a P-Card an essential function of this position? : No Is driving a requirement of this position?: No Does this position have direct interaction or care of children under the age of 18 or direct patient care?: No Does this position have Security Access (e.g., public safety, IT security, personnel records, patient records, or access to chemicals and medications): No Background Investigation Policy: Offers of employment are contingent upon completion of a background investigation including, a criminal background check demonstrating your eligibility for employment with the University of Georgia; confirmation of the credentials and employment history reflected in your application materials (including reference checks) as they relate to the job-based requirements of the position applied for; and, if applicable, a satisfactory credit check. You may also be subject to a pre-employment drug test for positions with high-risk responsibilities, if applicable. Please visit the UGA Background Check website . Contact Details: For questions concerning this position or recruitment progression, please refer to the Recruitment Contact listed below. Recruitment Contact Name: Christina Chhin Recruitment Contact Email:
Neuroimaging Data Analyst D University Overview The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America's Best Large Employers in 2023. Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access to a range of educational, cultural, and recreational activities. With its historical significance and landmarks, lively cultural offerings, and wide variety of atmospheres, Philadelphia is the perfect place to call home for work and play. The University offers a competitive benefits package that includes excellent healthcare and tuition benefits for employees and their families, generous retirement benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more. Posted Job Title Neuroimaging Data Analyst D Job Profile Title Data Analyst D Job Description Summary Neuroimaging Data Analyst D The Shanmugan Laboratory is part of the Department of Psychiatry, the Neurodevelopment & Psychosis Section, and the Lifespan Brain Institute (LiBI). Our goal is to personalize early interventions in reproductive psychiatry. To do this, we use non-invasive neuroimaging and advanced computational methods to understand mechanisms underlying sex differences in psychopathology and identify neuroendocrinologic markers of risk vs. resilience for psychiatric disorders. The Neuroimaging Data Analyst D will provide support for managing and analyzing data. Job Description The Perelman School of Medicine at the University of Pennsylvania is the oldest and one of the finest medical schools in the United States. Penn is rich in tradition and heritage and at the same time consistently at the forefront of new developments and innovations in medical education and research. Since its founding in 1765 the School has been a strong presence in the community and prides itself on educating the leaders of tomorrow in patient care, biomedical research, and medical education Neuroimaging Data Analyst D The Neuroimaging Data Analyst D provides support for managing and analyzing neuroimaging data. Analysts play a central role on large-scale projects that seek to understand the impact of reproductive timepoints, including puberty, pregnancy, and menopause, on the brain. Within these projects, they work in a team environment with a diverse, multi-disciplinary group of faculty and trainees from psychiatry, psychology engineering, statistics, and computer science. Primary responsibilities include management, processing, and analysis of high-dimensional imaging data. Additional responsibilities will be assigned based on the successful candidate's skills and interests. All analysts additionally lead independent projects (i.e., meta-analyses of neuroimaging studies) where they write first-author manuscripts. Qualifications Bachelor's degree in Engineering, Statistics, or Computational Neuroscience, and 3 to 5 years of research experience or an equivalent combination of education and experience is required. Master's degree preferred. To succeed in the highly collaborative environment, excellent interpersonal and communication skills are required. Program and data analysis skills are required, including Python, linux/bash, SQL, and R. Experience with neuroimaging tools (SPM, AFNI, FSL), clinically-acquired neuroimaging, machine learning, and working with Epic databases (Clarity, databricks, Caboodle) is strongly preferred but not required. Background check required. Position contingent on funding. Working Conditions Office, Library, Computer Room; Requires extensive safety Physical Effort Typically sitting at a desk or table; Occasional lifting 25 lb. or less Job Location - City, State Philadelphia, Pennsylvania Department / School Perelman School of Medicine Pay Range $70,500.00 - $85,000.00 Annual Rate Salary offers are made based on the candidate's qualifications, experience, skills, and education as they directly relate to the requirements of the position, and in alignment with salary ranges based on external market data for the job's level. Internal organization and peer data at Penn are also considered. Equal Opportunity Statement The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state or local law. Special Requirements Background checks may be required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job. University Benefits Health, Life, and Flexible Spending Accounts: Penn offers comprehensive medical, prescription, behavioral health, dental, vision, and life insurance benefits to protect you and your family's health and welfare. You can also use flexible spending accounts to pay for eligible health care and dependent care expenses with pre-tax dollars. Tuition: Take advantage of Penn's exceptional tuition benefits. You, your spouse, and your dependent children can get tuition assistance here at Penn. Your dependent children are also eligible for tuition assistance at other institutions. Retirement: Penn offers generous retirement plans to help you save for your future. Penn's Basic, Matching, and Supplemental retirement plans allow you to save for retirement on a pre-tax or Roth basis. Choose from a wide variety of investment options through TIAA and Vanguard. Time Away from Work: Penn provides you with a substantial amount of time away from work during the course of the year. This allows you to relax, take vacations, attend to personal affairs, recover from illness or injury, spend time with family-whatever your personal needs may be. Long-Term Care Insurance: In partnership with Genworth Financial, Penn offers faculty and staff (and your eligible family members) long-term care insurance to help you cover some of the costs of long-term care services received at home, in the community or in a nursing facility. If you apply when you're newly hired, you won't have to provide proof of good health or be subject to underwriting requirements. Eligible family members must always provide proof of good health and are subject to underwriting. Wellness and Work-life Resources: Penn is committed to supporting our faculty and staff as they balance the competing demands of work and personal life. That's why we offer a wide variety of programs and resources to help you care for your health, your family, and your work-life balance. Professional and Personal Development: Penn provides an array of resources to help you advance yourself personally and professionally. University Resources: As a member of the Penn community, you have access to a wide range of University resources as well as cultural and recreational activities. Take advantage of the University's libraries and athletic facilities, or visit our arboretum and art galleries. There's always something going on at Penn, whether it's a new exhibit at the Penn Museum, the latest music or theater presentation at the Annenberg Center, or the Penn Relays at Franklin Field to name just a few examples. As a member of the Penn community, you're right in the middle of the excitement-and you and your family can enjoy many of these activities for free. Discounts and Special Services: From arts and entertainment to transportation and mortgages, you'll find great deals for University faculty and staff. Not only do Penn arts and cultural centers and museums offer free and discounted admission and memberships to faculty and staff. You can also enjoy substantial savings on other goods and services such as new cars from Ford and General Motors, cellular phone service plans, movie tickets, and admission to theme parks. Flexible Work Hours: Flexible work options offer creative approaches for completing work while promoting balance between work and personal commitments. These approaches involve use of non-traditional work hours, locations, and/or job structures. Penn Home Ownership Services: Penn offers a forgivable loan for eligible employees interested in buying a home or currently residing in West Philadelphia, which can be used for closing costs or home improvements. Adoption Assistance: Penn will reimburse eligible employees on qualified expenses in connection with the legal adoption of an eligible child, such as travel or court fees, for up to two adoptions in your household. To learn more, please visit: . click apply for full job details
01/14/2026
Full time
Neuroimaging Data Analyst D University Overview The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America's Best Large Employers in 2023. Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access to a range of educational, cultural, and recreational activities. With its historical significance and landmarks, lively cultural offerings, and wide variety of atmospheres, Philadelphia is the perfect place to call home for work and play. The University offers a competitive benefits package that includes excellent healthcare and tuition benefits for employees and their families, generous retirement benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more. Posted Job Title Neuroimaging Data Analyst D Job Profile Title Data Analyst D Job Description Summary Neuroimaging Data Analyst D The Shanmugan Laboratory is part of the Department of Psychiatry, the Neurodevelopment & Psychosis Section, and the Lifespan Brain Institute (LiBI). Our goal is to personalize early interventions in reproductive psychiatry. To do this, we use non-invasive neuroimaging and advanced computational methods to understand mechanisms underlying sex differences in psychopathology and identify neuroendocrinologic markers of risk vs. resilience for psychiatric disorders. The Neuroimaging Data Analyst D will provide support for managing and analyzing data. Job Description The Perelman School of Medicine at the University of Pennsylvania is the oldest and one of the finest medical schools in the United States. Penn is rich in tradition and heritage and at the same time consistently at the forefront of new developments and innovations in medical education and research. Since its founding in 1765 the School has been a strong presence in the community and prides itself on educating the leaders of tomorrow in patient care, biomedical research, and medical education Neuroimaging Data Analyst D The Neuroimaging Data Analyst D provides support for managing and analyzing neuroimaging data. Analysts play a central role on large-scale projects that seek to understand the impact of reproductive timepoints, including puberty, pregnancy, and menopause, on the brain. Within these projects, they work in a team environment with a diverse, multi-disciplinary group of faculty and trainees from psychiatry, psychology engineering, statistics, and computer science. Primary responsibilities include management, processing, and analysis of high-dimensional imaging data. Additional responsibilities will be assigned based on the successful candidate's skills and interests. All analysts additionally lead independent projects (i.e., meta-analyses of neuroimaging studies) where they write first-author manuscripts. Qualifications Bachelor's degree in Engineering, Statistics, or Computational Neuroscience, and 3 to 5 years of research experience or an equivalent combination of education and experience is required. Master's degree preferred. To succeed in the highly collaborative environment, excellent interpersonal and communication skills are required. Program and data analysis skills are required, including Python, linux/bash, SQL, and R. Experience with neuroimaging tools (SPM, AFNI, FSL), clinically-acquired neuroimaging, machine learning, and working with Epic databases (Clarity, databricks, Caboodle) is strongly preferred but not required. Background check required. Position contingent on funding. Working Conditions Office, Library, Computer Room; Requires extensive safety Physical Effort Typically sitting at a desk or table; Occasional lifting 25 lb. or less Job Location - City, State Philadelphia, Pennsylvania Department / School Perelman School of Medicine Pay Range $70,500.00 - $85,000.00 Annual Rate Salary offers are made based on the candidate's qualifications, experience, skills, and education as they directly relate to the requirements of the position, and in alignment with salary ranges based on external market data for the job's level. Internal organization and peer data at Penn are also considered. Equal Opportunity Statement The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state or local law. Special Requirements Background checks may be required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job. University Benefits Health, Life, and Flexible Spending Accounts: Penn offers comprehensive medical, prescription, behavioral health, dental, vision, and life insurance benefits to protect you and your family's health and welfare. You can also use flexible spending accounts to pay for eligible health care and dependent care expenses with pre-tax dollars. Tuition: Take advantage of Penn's exceptional tuition benefits. You, your spouse, and your dependent children can get tuition assistance here at Penn. Your dependent children are also eligible for tuition assistance at other institutions. Retirement: Penn offers generous retirement plans to help you save for your future. Penn's Basic, Matching, and Supplemental retirement plans allow you to save for retirement on a pre-tax or Roth basis. Choose from a wide variety of investment options through TIAA and Vanguard. Time Away from Work: Penn provides you with a substantial amount of time away from work during the course of the year. This allows you to relax, take vacations, attend to personal affairs, recover from illness or injury, spend time with family-whatever your personal needs may be. Long-Term Care Insurance: In partnership with Genworth Financial, Penn offers faculty and staff (and your eligible family members) long-term care insurance to help you cover some of the costs of long-term care services received at home, in the community or in a nursing facility. If you apply when you're newly hired, you won't have to provide proof of good health or be subject to underwriting requirements. Eligible family members must always provide proof of good health and are subject to underwriting. Wellness and Work-life Resources: Penn is committed to supporting our faculty and staff as they balance the competing demands of work and personal life. That's why we offer a wide variety of programs and resources to help you care for your health, your family, and your work-life balance. Professional and Personal Development: Penn provides an array of resources to help you advance yourself personally and professionally. University Resources: As a member of the Penn community, you have access to a wide range of University resources as well as cultural and recreational activities. Take advantage of the University's libraries and athletic facilities, or visit our arboretum and art galleries. There's always something going on at Penn, whether it's a new exhibit at the Penn Museum, the latest music or theater presentation at the Annenberg Center, or the Penn Relays at Franklin Field to name just a few examples. As a member of the Penn community, you're right in the middle of the excitement-and you and your family can enjoy many of these activities for free. Discounts and Special Services: From arts and entertainment to transportation and mortgages, you'll find great deals for University faculty and staff. Not only do Penn arts and cultural centers and museums offer free and discounted admission and memberships to faculty and staff. You can also enjoy substantial savings on other goods and services such as new cars from Ford and General Motors, cellular phone service plans, movie tickets, and admission to theme parks. Flexible Work Hours: Flexible work options offer creative approaches for completing work while promoting balance between work and personal commitments. These approaches involve use of non-traditional work hours, locations, and/or job structures. Penn Home Ownership Services: Penn offers a forgivable loan for eligible employees interested in buying a home or currently residing in West Philadelphia, which can be used for closing costs or home improvements. Adoption Assistance: Penn will reimburse eligible employees on qualified expenses in connection with the legal adoption of an eligible child, such as travel or court fees, for up to two adoptions in your household. To learn more, please visit: . click apply for full job details
Sr. Software Developer School of Medicine, Stanford, California, United States Information Technology Services Oct 29, 2025 Post Date 107317 Requisition # Stanford University is seeking an experienced Sr. Software Developer with a strong passion for biomedical informatics and advancing healthcare through the power of AI. This role involves leading the integration of large-scale biomedical data sources-such as radiology and pathology imaging, genomics, and electronic health records (EHR)-into Stanford's clinical data warehouse. The Sr. Software Developer will design, implement, and maintain both front-end and back-end solutions for healthcare applications, ensuring data is Findable, Accessible, Interoperable, and Reusable (FAIR). Key responsibilities include applying AI tools like Natural Language Processing (NLP) and Machine Learning (ML), managing data security, troubleshooting complex technical problems, and collaborating with diverse teams. This position offers the opportunity to contribute to cutting-edge healthcare research while mentoring junior engineers and overseeing critical projects. Duties include: • Propose, conceptualize, design, implement, and develop solutions for difficult and complex applications. • Contribute to all phases of a project, including systems analysis, program design, development, and implementation. Serve as project lead for some projects. • Oversee testing, debugging, change control, and documentation for major projects. • Lead and mentor professional staff, as necessary, working on all phases of application development projects. • Engage in long-term strategic planning.in collaboration with staff and project leadership. • Define complex application development administration and programming standards. • Oversee the support, maintenance, operation, upgrades of applications. • Troubleshoot and resolve complex technical problems. • Review the physical design of existing systems for optimizing performance. • Lead projects, as necessary, for special systems and application development in areas of complex problems. • Work with other technical professionals to develop standards and implement best practices. • Provide innovative programming and analysis. • May mentor junior software developers. - Other duties may also be assigned DESIRED QUALIFICATIONS: • BS in Software Engineering, Biostatistics, Bioinformatics or research-related program • Experience performing data analysis in research analyses and visualization work in a healthcare research or clinical setting • Fluency in SQL, Python and R • Strong knowledge of cloud platforms such as Google Cloud, Azure or AWS • Proficiency in containerization technologies such as Docker and container orchestration platforms like Kubernetes • Experience with CI/CD tools such as GitLab CI/CD or GitHub Actions • Solid programming skills and experience in scripting • Experience with data transformation and workflow tools such as dbt, Airflow or WDL • Strong knowledge of database architecture best practices • Strong interpersonal and communication skills to interact with technical and non-technical stakeholders • Excellent writing and analytical skills • Five years of experience collaborating as a computational biologist or biostatistician • Experience with common data models like OMOP, PCORnet or i2b2 • Experience with ontologies, terminologies, UMLS, or Semantic Web • Familiarity with Cloud computing paradigm • Experience with working in a medical school environment, and working with HIPAA PHI and other clinical EHR databases • Familiarity with LLMs, NLPs, ML, and other AI technologies EDUCATION & EXPERIENCE (REQUIRED): Bachelor's degree and eight years of relevant experience, or a combination of education and relevant experience. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): • Ability to quickly learn and adapt to new technologies and programming tools. • Demonstrated experience in designing, developing, testing, and deploying applications. • Strong understanding of data design, architecture, relational databases, and data modeling. • Thorough understanding of all aspects of software development life cycle and quality control practices. • Ability to define and solve logical problems for highly technical applications. • Strong communication skills with both technical and non-technical clients. • Demonstrated experience leading activities on structured team development projects. • Ability to select, adapt, and effectively use a variety of programming methods. • Ability to recognize and recommend needed changes in user and/or operations procedures. PHYSICAL REQUIREMENTS : • Constantly perform desk-based computer tasks. • Frequently sit, grasp lightly/fine manipulation. • Occasionally stand/walk, writing by hand. • Rarely use a telephone, lift/carry/push/pull objects that weigh up to 10 pounds. - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. WORKING CONDITIONS: • May work extended hours, evening and weekends. • Travel on campus to schools/units. The expected pay range for this position is $169,728 to $194,585 per annum. Stanford University provides pay ranges representing its good faith estimate of the salary the university reasonably expects to pay for a position upon hire. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. WORK STANDARDS (from JDL) • Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. • Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. • Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, . Additional Information Schedule: Full-time Job Code: 4823 Employee Status: Regular Grade: L Requisition ID: 107317 Work Arrangement : Hybrid Eligible
01/14/2026
Full time
Sr. Software Developer School of Medicine, Stanford, California, United States Information Technology Services Oct 29, 2025 Post Date 107317 Requisition # Stanford University is seeking an experienced Sr. Software Developer with a strong passion for biomedical informatics and advancing healthcare through the power of AI. This role involves leading the integration of large-scale biomedical data sources-such as radiology and pathology imaging, genomics, and electronic health records (EHR)-into Stanford's clinical data warehouse. The Sr. Software Developer will design, implement, and maintain both front-end and back-end solutions for healthcare applications, ensuring data is Findable, Accessible, Interoperable, and Reusable (FAIR). Key responsibilities include applying AI tools like Natural Language Processing (NLP) and Machine Learning (ML), managing data security, troubleshooting complex technical problems, and collaborating with diverse teams. This position offers the opportunity to contribute to cutting-edge healthcare research while mentoring junior engineers and overseeing critical projects. Duties include: • Propose, conceptualize, design, implement, and develop solutions for difficult and complex applications. • Contribute to all phases of a project, including systems analysis, program design, development, and implementation. Serve as project lead for some projects. • Oversee testing, debugging, change control, and documentation for major projects. • Lead and mentor professional staff, as necessary, working on all phases of application development projects. • Engage in long-term strategic planning.in collaboration with staff and project leadership. • Define complex application development administration and programming standards. • Oversee the support, maintenance, operation, upgrades of applications. • Troubleshoot and resolve complex technical problems. • Review the physical design of existing systems for optimizing performance. • Lead projects, as necessary, for special systems and application development in areas of complex problems. • Work with other technical professionals to develop standards and implement best practices. • Provide innovative programming and analysis. • May mentor junior software developers. - Other duties may also be assigned DESIRED QUALIFICATIONS: • BS in Software Engineering, Biostatistics, Bioinformatics or research-related program • Experience performing data analysis in research analyses and visualization work in a healthcare research or clinical setting • Fluency in SQL, Python and R • Strong knowledge of cloud platforms such as Google Cloud, Azure or AWS • Proficiency in containerization technologies such as Docker and container orchestration platforms like Kubernetes • Experience with CI/CD tools such as GitLab CI/CD or GitHub Actions • Solid programming skills and experience in scripting • Experience with data transformation and workflow tools such as dbt, Airflow or WDL • Strong knowledge of database architecture best practices • Strong interpersonal and communication skills to interact with technical and non-technical stakeholders • Excellent writing and analytical skills • Five years of experience collaborating as a computational biologist or biostatistician • Experience with common data models like OMOP, PCORnet or i2b2 • Experience with ontologies, terminologies, UMLS, or Semantic Web • Familiarity with Cloud computing paradigm • Experience with working in a medical school environment, and working with HIPAA PHI and other clinical EHR databases • Familiarity with LLMs, NLPs, ML, and other AI technologies EDUCATION & EXPERIENCE (REQUIRED): Bachelor's degree and eight years of relevant experience, or a combination of education and relevant experience. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): • Ability to quickly learn and adapt to new technologies and programming tools. • Demonstrated experience in designing, developing, testing, and deploying applications. • Strong understanding of data design, architecture, relational databases, and data modeling. • Thorough understanding of all aspects of software development life cycle and quality control practices. • Ability to define and solve logical problems for highly technical applications. • Strong communication skills with both technical and non-technical clients. • Demonstrated experience leading activities on structured team development projects. • Ability to select, adapt, and effectively use a variety of programming methods. • Ability to recognize and recommend needed changes in user and/or operations procedures. PHYSICAL REQUIREMENTS : • Constantly perform desk-based computer tasks. • Frequently sit, grasp lightly/fine manipulation. • Occasionally stand/walk, writing by hand. • Rarely use a telephone, lift/carry/push/pull objects that weigh up to 10 pounds. - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. WORKING CONDITIONS: • May work extended hours, evening and weekends. • Travel on campus to schools/units. The expected pay range for this position is $169,728 to $194,585 per annum. Stanford University provides pay ranges representing its good faith estimate of the salary the university reasonably expects to pay for a position upon hire. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. WORK STANDARDS (from JDL) • Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. • Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. • Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, . Additional Information Schedule: Full-time Job Code: 4823 Employee Status: Regular Grade: L Requisition ID: 107317 Work Arrangement : Hybrid Eligible
Job Title: Postdoctoral Fellow in Information Technology Management (ITM) Location: Atlanta, Georgia Regular/Temporary: Regular Full/Part Time: Full-Time Job ID: 293201 About Us Overview Georgia Tech prides itself on its technological resources, collaborations, high-quality student body, and its commitment to building an outstanding and diverse community of learning, discovery, and creation. We strongly encourage applicants whose values align with our institutional values, as outlined in our Strategic Plan. These values include academic excellence, diversity of thought and experience, inquiry and innovation, collaboration and community, and ethical behavior and stewardship. Georgia Tech has policies to promote a healthy work-life balance and is aware that attracting faculty may require meeting the needs of two careers. About Georgia Tech Georgia Tech is a top-ranked public research university situated in the heart of Atlanta, a diverse and vibrant city with numerous economic and cultural strengths. The Institute serves more than 45,000 students through top-ranked undergraduate, graduate, and executive programs in engineering, computing, science, business, design, and liberal arts. Georgia Tech's faculty attracted more than $1.4 billion in research awards this past year in fields ranging from biomedical technology to artificial intelligence, energy, sustainability, semiconductors, neuroscience, and national security. Georgia Tech ranks among the nation's top 20 universities for research and development spending and No. 1 among institutions without a medical school. Georgia Tech's Mission and Values Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do: 1. Students are our top priority. 2. We strive for excellence. 3. We thrive on diversity. 4. We celebrate collaboration. 5. We champion innovation. 6. We safeguard freedom of inquiry and expression. 7. We nurture the wellbeing of our community. 8. We act ethically. 9. We are responsible stewards. Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact. About Scheller College of Business The Scheller College of Business' Full-time MBA Program is ranked among public universities by Bloomberg BusinessWeek (2021) and U.S. News & World Report (2023). Georgia Tech is one of the nation's leading research universities and consistently ranks among the top public universities in the country. Atlanta is the 9th largest metropolitan area in the U.S. and serves as a cultural and economic hub for the region. Job Summary The Scheller College of Business at the Georgia Institute of Technology in Atlanta, Georgia, seeks applications for a research-focused Postdoctoral Fellow in Information Technology Management (ITM). The initial appointment is for one year and may be renewed for up to two years, depending on satisfactory performance. The postdoc can begin as soon as January 2026 or as late as August 2026 we are happy to accommodate the timeline that works best for the selected candidate. The role involves close collaboration with the ITM area faculty on mutually selected research projects. Two preferred areas of focus for our group are: Studying the application of LLMs in online multisided platforms, such as the design and optimization of LLM-powered advertising mechanisms, and strategic interaction between platform participants. We are particularly interested in how LLMs influence user engagement, attention allocation, and economic outcomes on digital platforms, including auction-based advertising markets and dynamic information environments. Developing economic frameworks for data valuation and privacy in business applications, including topics such as federated learning, copyright-preserving generative models, data marketplace pricing, and incentive-compatible privacy mechanisms. This line of research aims to connect information economics, machine learning algorithms, and market design, to address practical concerns in decentralized data governance, trustworthy machine learning, and platform strategy. Responsibilities Responsibilities for this position include : Work on high-impact research projects, from conceptualization, data collection, and data analysis to manuscript preparation and publication.Teach one 3-credit course each year.Perform related services based on the needs of the ITM areaRequired Qualifications A Ph.D. or equivalent degree in information systems, economics, management science, computer science, statistics, operations, or other related quantitative and/or social science domains The degree must completed by the position start date. For example, ABD (All but dissertation) candidates must have successfully defended their dissertation no later than July 1, 2026 for an August 1, 2026 start date. Strong analytical, quantitative, and communication skills. Preferred Qualifications Knowledge in machine learning, generative models and LLM.Knowledge in data privacy technologies, including but not limited to federated learning, differential privacy, copyright preserving technologies in generative models.Knowledge in microeconomic theory, including but not limited to mechanism design, auction theory, game theoryPrior teaching experienceRequired Documents to Attach Applicants should submit: A cover letter (please discuss research themes or topics that you'd like to pursue and any relevant research or industry experience) Your CV Names and contact information of three references as a single pdf file, and One published or working paper. Review of applications will begin immediately and continue until the position is filled. To receive full consideration, please submit your application no later than 2026-03-01. The selection process for the chosen candidates will include passing a pre-employment background screening, submission of transcripts, as well as other pre-employment documents once top candidates have been identified. Questions can be sent to addressing Professor Mingxi Zhu or Professor Lizhen Xu Knowledge, Skills, & Abilities We welcome candidates with strong skills in areas including, but not limited to, analytical modeling; economic theory (such as game theory, mechanism design, and information design); and machine learning (including algorithm design, analysis, and generative models such as large language models). While a background in information systems is preferred, we also encourage applicants from related fields such as economics, computer science, operations research, and statistics. We are particularly interested in scholars who can integrate economic theory with computational approaches to address key challenges at the intersection of artificial intelligence, digital markets, and information technologies. USG Core Values The University System of Georgia is comprised of our 26 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at . Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at . Equal Employment Opportunity The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The Institute is committed to maintaining a fair and respectful environment for all. To that end, and in accordance with federal and state law, Board of Regents policy, and Institute policy, Georgia Tech provides equal opportunity to all faculty, staff, students, and all other members of the Georgia Tech community, including applicants for admission and/or employment, contractors, volunteers, and participants in institutional programs, activities, or services. Georgia Tech complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities. Equal opportunity and decisions based on merit are fundamental values of the University System of Georgia ("USG") and Georgia Tech. Georgia Tech prohibits discrimination, including discriminatory harassment, on the basis of an individual's race, ethnicity, ancestry, color, religion, sex (including pregnancy), national origin, age, disability, genetics, or veteran status in its programs, activities, employment, and admissions. Further, Georgia Tech prohibits citizenship status, immigration status, and national origin discrimination in hiring, firing, and recruitment . click apply for full job details
01/14/2026
Full time
Job Title: Postdoctoral Fellow in Information Technology Management (ITM) Location: Atlanta, Georgia Regular/Temporary: Regular Full/Part Time: Full-Time Job ID: 293201 About Us Overview Georgia Tech prides itself on its technological resources, collaborations, high-quality student body, and its commitment to building an outstanding and diverse community of learning, discovery, and creation. We strongly encourage applicants whose values align with our institutional values, as outlined in our Strategic Plan. These values include academic excellence, diversity of thought and experience, inquiry and innovation, collaboration and community, and ethical behavior and stewardship. Georgia Tech has policies to promote a healthy work-life balance and is aware that attracting faculty may require meeting the needs of two careers. About Georgia Tech Georgia Tech is a top-ranked public research university situated in the heart of Atlanta, a diverse and vibrant city with numerous economic and cultural strengths. The Institute serves more than 45,000 students through top-ranked undergraduate, graduate, and executive programs in engineering, computing, science, business, design, and liberal arts. Georgia Tech's faculty attracted more than $1.4 billion in research awards this past year in fields ranging from biomedical technology to artificial intelligence, energy, sustainability, semiconductors, neuroscience, and national security. Georgia Tech ranks among the nation's top 20 universities for research and development spending and No. 1 among institutions without a medical school. Georgia Tech's Mission and Values Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do: 1. Students are our top priority. 2. We strive for excellence. 3. We thrive on diversity. 4. We celebrate collaboration. 5. We champion innovation. 6. We safeguard freedom of inquiry and expression. 7. We nurture the wellbeing of our community. 8. We act ethically. 9. We are responsible stewards. Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact. About Scheller College of Business The Scheller College of Business' Full-time MBA Program is ranked among public universities by Bloomberg BusinessWeek (2021) and U.S. News & World Report (2023). Georgia Tech is one of the nation's leading research universities and consistently ranks among the top public universities in the country. Atlanta is the 9th largest metropolitan area in the U.S. and serves as a cultural and economic hub for the region. Job Summary The Scheller College of Business at the Georgia Institute of Technology in Atlanta, Georgia, seeks applications for a research-focused Postdoctoral Fellow in Information Technology Management (ITM). The initial appointment is for one year and may be renewed for up to two years, depending on satisfactory performance. The postdoc can begin as soon as January 2026 or as late as August 2026 we are happy to accommodate the timeline that works best for the selected candidate. The role involves close collaboration with the ITM area faculty on mutually selected research projects. Two preferred areas of focus for our group are: Studying the application of LLMs in online multisided platforms, such as the design and optimization of LLM-powered advertising mechanisms, and strategic interaction between platform participants. We are particularly interested in how LLMs influence user engagement, attention allocation, and economic outcomes on digital platforms, including auction-based advertising markets and dynamic information environments. Developing economic frameworks for data valuation and privacy in business applications, including topics such as federated learning, copyright-preserving generative models, data marketplace pricing, and incentive-compatible privacy mechanisms. This line of research aims to connect information economics, machine learning algorithms, and market design, to address practical concerns in decentralized data governance, trustworthy machine learning, and platform strategy. Responsibilities Responsibilities for this position include : Work on high-impact research projects, from conceptualization, data collection, and data analysis to manuscript preparation and publication.Teach one 3-credit course each year.Perform related services based on the needs of the ITM areaRequired Qualifications A Ph.D. or equivalent degree in information systems, economics, management science, computer science, statistics, operations, or other related quantitative and/or social science domains The degree must completed by the position start date. For example, ABD (All but dissertation) candidates must have successfully defended their dissertation no later than July 1, 2026 for an August 1, 2026 start date. Strong analytical, quantitative, and communication skills. Preferred Qualifications Knowledge in machine learning, generative models and LLM.Knowledge in data privacy technologies, including but not limited to federated learning, differential privacy, copyright preserving technologies in generative models.Knowledge in microeconomic theory, including but not limited to mechanism design, auction theory, game theoryPrior teaching experienceRequired Documents to Attach Applicants should submit: A cover letter (please discuss research themes or topics that you'd like to pursue and any relevant research or industry experience) Your CV Names and contact information of three references as a single pdf file, and One published or working paper. Review of applications will begin immediately and continue until the position is filled. To receive full consideration, please submit your application no later than 2026-03-01. The selection process for the chosen candidates will include passing a pre-employment background screening, submission of transcripts, as well as other pre-employment documents once top candidates have been identified. Questions can be sent to addressing Professor Mingxi Zhu or Professor Lizhen Xu Knowledge, Skills, & Abilities We welcome candidates with strong skills in areas including, but not limited to, analytical modeling; economic theory (such as game theory, mechanism design, and information design); and machine learning (including algorithm design, analysis, and generative models such as large language models). While a background in information systems is preferred, we also encourage applicants from related fields such as economics, computer science, operations research, and statistics. We are particularly interested in scholars who can integrate economic theory with computational approaches to address key challenges at the intersection of artificial intelligence, digital markets, and information technologies. USG Core Values The University System of Georgia is comprised of our 26 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at . Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at . Equal Employment Opportunity The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The Institute is committed to maintaining a fair and respectful environment for all. To that end, and in accordance with federal and state law, Board of Regents policy, and Institute policy, Georgia Tech provides equal opportunity to all faculty, staff, students, and all other members of the Georgia Tech community, including applicants for admission and/or employment, contractors, volunteers, and participants in institutional programs, activities, or services. Georgia Tech complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities. Equal opportunity and decisions based on merit are fundamental values of the University System of Georgia ("USG") and Georgia Tech. Georgia Tech prohibits discrimination, including discriminatory harassment, on the basis of an individual's race, ethnicity, ancestry, color, religion, sex (including pregnancy), national origin, age, disability, genetics, or veteran status in its programs, activities, employment, and admissions. Further, Georgia Tech prohibits citizenship status, immigration status, and national origin discrimination in hiring, firing, and recruitment . click apply for full job details
ASSISTANT/ASSOCIATE/FULL PROFESSOR - AI Models, Systems and Applications Job No: 537329 Work Type: Full Time Location: Jacksonville Campus Categories: Education/Training/Instructional Design, Computer Science, Engineering Department: - EG-ONLINE LEARNING INSTITUTE Job Description Classification Title: ASSISTANT/ASSOCIATE/FULL PROFESSOR Classification Minimum Requirements: Ph.D. degree in Computer Science/Engineering, or a closely related discipline. Job Description: The Herbert Wertheim College of Engineering at the University of Florida (UF) invites applications for a full-time, 9-month, tenure-track, or tenured faculty position at the Assistant, or Associate Professor level in the Department of Computer and Information Science and Engineering (CISE). We seek applicants with expertise in AI models, systems, and applications. Ideal candidates will have experience applying AI models and systems to specific domains, such as manufacturing, human and healthcare systems, public health, energy, transportation, and supply chain and logistics. This position is in Jacksonville and will support the CISE operations on the Jacksonville campus of the University of Florida. While the main UF campus is in Gainesville FL, the UF Jacksonville campus is 2 hours away. The UF Jacksonville campus is a new expansion of the UF main campus opening Fall 2026, with immense potential and opportunities to expand existing education and research programs, establish innovative culture and foster industry relationships. This position will also engage prospective and current students in recruiting, orientation, graduation, networking, and other events and represent the CISE department in various functions in the Jacksonville area community. The position has an anticipated start date between May and August 2026. Successful candidates will be expected to develop a high-quality publication record at UF, supervise Ph.D. students, teach both undergraduate and graduate courses in CISE, and contribute to the Department's service activities. A strong motivation for developing an externally funded research program is essential. Applicants at the Associate Professor level must demonstrate strong records of scholarship, external funding, and service. The Department of Computer & Information Science & Engineering at the University of Florida has over 50 faculty members, and provides an integrated computer science and engineering education that addresses a wide spectrum of computing areas, including: AI/machine learning, algorithms, bioinformatics, computational complexity, compilers, computer architecture, computer networks, cybersecurity, databases, human-centered computing, operating systems, programming languages, software engineering. CISE has a student population of approximately 4,400, with nearly 160 in the Ph.D. program. Based on historical trends and current forecasts, significant and continued growth is expected. More information about the Department can be found at . Located in Northeast Florida, Jacksonville is a vibrant and rapidly growing city that combines urban energy with coastal charm. With a strong and diversified economy, including major sectors like healthcare, finance, logistics, and advanced manufacturing, Jacksonville offers rich opportunities for academic-industry research collaborations. The city is home to leading healthcare systems, Fortune 500 companies, and innovative startups, creating a dynamic environment for interdisciplinary partnerships and translational research. Alongside its professional advantages, Jacksonville offers an exceptional quality of life, with scenic beaches, a thriving arts scene, and a welcoming community. Expected Salary: Salary is commensurate with education and experience Required Qualifications: Ph.D. degree in Computer Science/Engineering, or a closely related discipline. Preferred: Undergraduate degree in Computer Science/Engineering. Strong research record demonstrated excellence in teaching, and evidence of service, all appropriate to the applicant's rank. Special Instructions to Applicants: The search committee will begin reviewing applications immediately and will continue to receive applications until the position is filled. To ensure full consideration, applications must be submitted by November 1, 2025 . You must apply by submitting an application through UF Careers via (Job 537329) . The application consists of attached PDF files of the following required documents: 1. Cover letter (summary and introduction; relate to hiring emphasis areas) 2. Curriculum vitae. 3. Research Statement. and Teaching Statement. 4. Names, addresses, phone numbers, and email addresses of three references. Additional documents should be uploaded as one PDF to the "other documents" selection in the application . For additional questions, contact Daisy Zhe Wang at . The University of Florida (UF) is the flagship campus of the State of Florida university system and is consistently ranked among the nation's top public universities. UF is home to HiPerGator , the fastest AI supercomputer in higher education, and the Herbert Wertheim College of Engineering is undergoing a major expansion in faculty, research, and facilities with a strong focus on artificial intelligence. In Fall 2023, UF opened Malachowsky Hall for Data Science & Information Technology , a 260,000-square-foot facility that serves as the hub for AI. For more information about college initiatives, visit eng.ufl.edu Additional Requirements The selected candidate must provide an official transcript to the hiring department upon hire. Transcripts marked "Issued to Student" will not be considered official. Degrees earned outside the United States must be evaluated by a professional credentialing service provider approved by the National Association of Credential Evaluation Services (NACES) . Additional Information University of Florida is a member of the State University System of Florida and an Equal Opportunity Employer. All qualified applicants will receive consideration for employment based on merit. If you require a reasonable accommodation to apply, please call or the Florida Relay System at (TDD) . Employment is contingent upon eligibility to work in the United States. All searches are conducted in accordance with Florida's Sunshine Law . The University of Florida is an equal opportunity employer. Application must be submitted by 11:55 p.m. (ET) of the posting end date. Health Assessment Required: No Applications Close: To apply, visit Our Commitment: The University of Florida is an Equal Employment Opportunity Employer. Hiring is contingent on eligibility to work in the U.S. The University of Florida is a public institution and is subject to all requirements under Florida Sunshine and Public Record laws. If an accommodation due to a disability is needed to apply for this position, please call 352-392- 2477 or the Florida Relay System at (TDD) or visit Accessibility at UF. Copyright 2025 Inc. All rights reserved. Posted by the FREE value-added recruitment advertising agency jeid-9a7922d65e036d4684f05bdf
01/14/2026
Full time
ASSISTANT/ASSOCIATE/FULL PROFESSOR - AI Models, Systems and Applications Job No: 537329 Work Type: Full Time Location: Jacksonville Campus Categories: Education/Training/Instructional Design, Computer Science, Engineering Department: - EG-ONLINE LEARNING INSTITUTE Job Description Classification Title: ASSISTANT/ASSOCIATE/FULL PROFESSOR Classification Minimum Requirements: Ph.D. degree in Computer Science/Engineering, or a closely related discipline. Job Description: The Herbert Wertheim College of Engineering at the University of Florida (UF) invites applications for a full-time, 9-month, tenure-track, or tenured faculty position at the Assistant, or Associate Professor level in the Department of Computer and Information Science and Engineering (CISE). We seek applicants with expertise in AI models, systems, and applications. Ideal candidates will have experience applying AI models and systems to specific domains, such as manufacturing, human and healthcare systems, public health, energy, transportation, and supply chain and logistics. This position is in Jacksonville and will support the CISE operations on the Jacksonville campus of the University of Florida. While the main UF campus is in Gainesville FL, the UF Jacksonville campus is 2 hours away. The UF Jacksonville campus is a new expansion of the UF main campus opening Fall 2026, with immense potential and opportunities to expand existing education and research programs, establish innovative culture and foster industry relationships. This position will also engage prospective and current students in recruiting, orientation, graduation, networking, and other events and represent the CISE department in various functions in the Jacksonville area community. The position has an anticipated start date between May and August 2026. Successful candidates will be expected to develop a high-quality publication record at UF, supervise Ph.D. students, teach both undergraduate and graduate courses in CISE, and contribute to the Department's service activities. A strong motivation for developing an externally funded research program is essential. Applicants at the Associate Professor level must demonstrate strong records of scholarship, external funding, and service. The Department of Computer & Information Science & Engineering at the University of Florida has over 50 faculty members, and provides an integrated computer science and engineering education that addresses a wide spectrum of computing areas, including: AI/machine learning, algorithms, bioinformatics, computational complexity, compilers, computer architecture, computer networks, cybersecurity, databases, human-centered computing, operating systems, programming languages, software engineering. CISE has a student population of approximately 4,400, with nearly 160 in the Ph.D. program. Based on historical trends and current forecasts, significant and continued growth is expected. More information about the Department can be found at . Located in Northeast Florida, Jacksonville is a vibrant and rapidly growing city that combines urban energy with coastal charm. With a strong and diversified economy, including major sectors like healthcare, finance, logistics, and advanced manufacturing, Jacksonville offers rich opportunities for academic-industry research collaborations. The city is home to leading healthcare systems, Fortune 500 companies, and innovative startups, creating a dynamic environment for interdisciplinary partnerships and translational research. Alongside its professional advantages, Jacksonville offers an exceptional quality of life, with scenic beaches, a thriving arts scene, and a welcoming community. Expected Salary: Salary is commensurate with education and experience Required Qualifications: Ph.D. degree in Computer Science/Engineering, or a closely related discipline. Preferred: Undergraduate degree in Computer Science/Engineering. Strong research record demonstrated excellence in teaching, and evidence of service, all appropriate to the applicant's rank. Special Instructions to Applicants: The search committee will begin reviewing applications immediately and will continue to receive applications until the position is filled. To ensure full consideration, applications must be submitted by November 1, 2025 . You must apply by submitting an application through UF Careers via (Job 537329) . The application consists of attached PDF files of the following required documents: 1. Cover letter (summary and introduction; relate to hiring emphasis areas) 2. Curriculum vitae. 3. Research Statement. and Teaching Statement. 4. Names, addresses, phone numbers, and email addresses of three references. Additional documents should be uploaded as one PDF to the "other documents" selection in the application . For additional questions, contact Daisy Zhe Wang at . The University of Florida (UF) is the flagship campus of the State of Florida university system and is consistently ranked among the nation's top public universities. UF is home to HiPerGator , the fastest AI supercomputer in higher education, and the Herbert Wertheim College of Engineering is undergoing a major expansion in faculty, research, and facilities with a strong focus on artificial intelligence. In Fall 2023, UF opened Malachowsky Hall for Data Science & Information Technology , a 260,000-square-foot facility that serves as the hub for AI. For more information about college initiatives, visit eng.ufl.edu Additional Requirements The selected candidate must provide an official transcript to the hiring department upon hire. Transcripts marked "Issued to Student" will not be considered official. Degrees earned outside the United States must be evaluated by a professional credentialing service provider approved by the National Association of Credential Evaluation Services (NACES) . Additional Information University of Florida is a member of the State University System of Florida and an Equal Opportunity Employer. All qualified applicants will receive consideration for employment based on merit. If you require a reasonable accommodation to apply, please call or the Florida Relay System at (TDD) . Employment is contingent upon eligibility to work in the United States. All searches are conducted in accordance with Florida's Sunshine Law . The University of Florida is an equal opportunity employer. Application must be submitted by 11:55 p.m. (ET) of the posting end date. Health Assessment Required: No Applications Close: To apply, visit Our Commitment: The University of Florida is an Equal Employment Opportunity Employer. Hiring is contingent on eligibility to work in the U.S. The University of Florida is a public institution and is subject to all requirements under Florida Sunshine and Public Record laws. If an accommodation due to a disability is needed to apply for this position, please call 352-392- 2477 or the Florida Relay System at (TDD) or visit Accessibility at UF. Copyright 2025 Inc. All rights reserved. Posted by the FREE value-added recruitment advertising agency jeid-9a7922d65e036d4684f05bdf
The Johns Hopkins Data Science and AI Institute (DSAI) is focused on revolutionizing discovery by advancing artificial intelligence that evolves collaboratively with human intelligence, combining the strengths of each for the betterment of society and the world in which we live. DSAI will bring together the mathematical, computational, and ethical foundations of AI with the domains of Health & Medicine, Safety & Assurance, and Discovery & Inquiry. DSAI seeks a Scientific Software Engineer with a strong academic backgrounds and relevant experience in industry. The successful candidates will work at the cutting edge of modern science within the new Scientific Software Engineering Center (SSEC) at Johns Hopkins University (JHU). The Center is part of the Virtual Institute for Scientific Software (VISS), launched by Schmidt Futures, a philanthropic initiative founded by Eric and Wendy Schmidt. VISS will address the growing demand for high-quality professional software engineers who can build dynamic, scalable, open software to facilitate accelerated scientific discovery across fields. (See for more information on the VISS.) The SSEC will be hosted by the Institute of Data Intensive Engineering and Science (IDIES) at JHU within DSAI, a new pan-institutional initiative at Johns Hopkins to advance artificial intelligence and its applications, in part through investments in the software engineering, data science, and machine learning space. The SSEC engineers will be at the forefront of modern data intensive science, where high-level software is rapidly becoming the key ingredient for success. The DSAI initiative includes the build-out of a substantive and professional-scale software engineering capability, and a dramatic increase in infrastructure, both in hardware and in personnel. JHU has long been a world leader in the broader domains of medicine and public health as well as a wide range of science and engineering fields. This combined with our ethos of building out capabilities to have demonstrable global impact (e.g., JHUs Coronavirus Resource Center the award-winning global resource for real-time data and analysis for COVID-19) and other unique large scientific data sets, like the archives for the Sloan Digital Sky Survey and several simulations, will be key leverage points that will make the Center successful. Specific Duties & Responsibilities The successful candidates will be given a choice of ground-breaking research projects that need advanced software solutions requiring expertise in software engineering not commonly found in scientific collaborations. The projects may require the creation of AI/ML solutions using the latest DNN libraries trained on state-of-the-art hardware. Projects may also involve analysis of massive data sets either in the cloud or on premises. They may require creation of software pipelines for processing of real-time high-frequency data processing workflows and may need the design of complex database models for storing and disseminating scientific data sets. Some projects may require deep engagement, possibly leading to co-authorship on scientific publications, while others may involve a more casual consulting engagement. They may require software solutions developed from scratch or refactoring existing solutions to make them conform to industry standards (quality, reusability, robustness, portability, documentation, etc.). It is a high-level goal of the SSEC to translate the efforts for the individual projects into frameworks and template patterns for sustainable scientific infrastructure benefiting future projects. Minimum Qualifications Masters in a Quantitative Discipline, e.g., Computer Science, Engineering, Astrophysics, Bioinformatics with strong scientific computing and/or mathematics background. Three (3) years or more experience working in software development and/or data science in large projects in industry. Additional education may substitute for required experience, and additional related experience may substitute for required education beyond a high school diploma/graduation equivalent, to the extent permitted by the JHU equivalency formula. Preferred Qualifications PhD in a quantitative discipline. Five years or more experience working in software development and/or data science in industry. Experience with articulating and translating business/application questions and translating these into software and statistical techniques to arrive at an answer using available data. Demonstrated leadership and self-direction. Willingness to both teach others and learn new techniques. Demonstrated skills in selecting the right tools given a data analysis problem. Effective written and verbal communication skills. Classified Title: Scientific Software Engineer Role/Level/Range: APPTSTAF/01/ST Starting Salary Range: Commensurate w/exp.) Employee group: Full Time Schedule: 37.5 hrs/wk, M-F FLSA Status: Exempt Location: Hybrid/Homewood Campus Department name: DSAI Institute Personnel area: Whiting School of Engineering Total Rewards The referenced base salary range represents the low and high end of Johns Hopkins University's salary range for this position. Not all candidates will be eligible for the upper end of the salary range. Exact salary will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, market conditions, education/training and other qualifications. Johns Hopkins offers a total rewards package that supports our employees' health, life, career and retirement. More information can be found here: . Education and Experience Equivalency Please refer to the job description above to see which forms of equivalency are permitted for this position. If permitted, equivalencies will follow these guidelines: JHU Equivalency Formula: 30 undergraduate degree credits (semester hours) or 18 graduate degree credits may substitute for one year of experience. Additional related experience may substitute for required education on the same basis. For jobs where equivalency is permitted, up to two years of non-related college course work may be applied towards the total minimum education/experience required for the respective job. Applicants Completing Studies Applicants who do not meet the posted requirements but are completing their final academic semester/quarter will be considered eligible for employment and may be asked to provide additional information confirming their academic completion date. Background Checks The successful candidate(s) for this position will be subject to a pre-employment background check. Johns Hopkins is committed to hiring individuals with a justice-involved background, consistent with applicable policies and current practice. A prior criminal history does not automatically preclude candidates from employment at Johns Hopkins University. In accordance with applicable law, the university will review, on an individual basis, the date of a candidate's conviction, the nature of the conviction and how the conviction relates to an essential job-related qualification or function. Diversity and Inclusion The Johns Hopkins University values diversity, equity and inclusion and advances these through our key strategic framework, the JHU Roadmap on Diversity and Inclusion . Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. EEO is the Law Accommodation Information If you are interested in applying for employment with The Johns Hopkins University and require special assistance or accommodation during any part of the pre-employment process, please contact the Talent Acquisition Office at . For TTY users, call via Maryland Relay or dial 711. For more information about workplace accommodations or accessibility at Johns Hopkins University, please visit . Vaccine Requirements Johns Hopkins University requires all faculty, staff, and students to receive the seasonal flu vaccine. Exceptions to the flu vaccine requirements may be provided to individuals for religious beliefs or medical reasons. Requests for an exception must be submitted to the JHU vaccination registry. The following additional provisions may apply, depending upon campus. Your recruiter will advise accordingly. The pre-employment physical for positions in clinical areas, laboratories, working with research subjects, or involving community contact requires documentation of immune status against Rubella (German measles), Rubeola (Measles), Mumps, Varicella (chickenpox), Hepatitis B and documentation of having received the Tdap (Tetanus, diphtheria, pertussis) vaccination. This may include documentation of having two (2) MMR vaccines; two (2) Varicella vaccines; or antibody status to these diseases from laboratory testing . click apply for full job details
01/14/2026
Full time
The Johns Hopkins Data Science and AI Institute (DSAI) is focused on revolutionizing discovery by advancing artificial intelligence that evolves collaboratively with human intelligence, combining the strengths of each for the betterment of society and the world in which we live. DSAI will bring together the mathematical, computational, and ethical foundations of AI with the domains of Health & Medicine, Safety & Assurance, and Discovery & Inquiry. DSAI seeks a Scientific Software Engineer with a strong academic backgrounds and relevant experience in industry. The successful candidates will work at the cutting edge of modern science within the new Scientific Software Engineering Center (SSEC) at Johns Hopkins University (JHU). The Center is part of the Virtual Institute for Scientific Software (VISS), launched by Schmidt Futures, a philanthropic initiative founded by Eric and Wendy Schmidt. VISS will address the growing demand for high-quality professional software engineers who can build dynamic, scalable, open software to facilitate accelerated scientific discovery across fields. (See for more information on the VISS.) The SSEC will be hosted by the Institute of Data Intensive Engineering and Science (IDIES) at JHU within DSAI, a new pan-institutional initiative at Johns Hopkins to advance artificial intelligence and its applications, in part through investments in the software engineering, data science, and machine learning space. The SSEC engineers will be at the forefront of modern data intensive science, where high-level software is rapidly becoming the key ingredient for success. The DSAI initiative includes the build-out of a substantive and professional-scale software engineering capability, and a dramatic increase in infrastructure, both in hardware and in personnel. JHU has long been a world leader in the broader domains of medicine and public health as well as a wide range of science and engineering fields. This combined with our ethos of building out capabilities to have demonstrable global impact (e.g., JHUs Coronavirus Resource Center the award-winning global resource for real-time data and analysis for COVID-19) and other unique large scientific data sets, like the archives for the Sloan Digital Sky Survey and several simulations, will be key leverage points that will make the Center successful. Specific Duties & Responsibilities The successful candidates will be given a choice of ground-breaking research projects that need advanced software solutions requiring expertise in software engineering not commonly found in scientific collaborations. The projects may require the creation of AI/ML solutions using the latest DNN libraries trained on state-of-the-art hardware. Projects may also involve analysis of massive data sets either in the cloud or on premises. They may require creation of software pipelines for processing of real-time high-frequency data processing workflows and may need the design of complex database models for storing and disseminating scientific data sets. Some projects may require deep engagement, possibly leading to co-authorship on scientific publications, while others may involve a more casual consulting engagement. They may require software solutions developed from scratch or refactoring existing solutions to make them conform to industry standards (quality, reusability, robustness, portability, documentation, etc.). It is a high-level goal of the SSEC to translate the efforts for the individual projects into frameworks and template patterns for sustainable scientific infrastructure benefiting future projects. Minimum Qualifications Masters in a Quantitative Discipline, e.g., Computer Science, Engineering, Astrophysics, Bioinformatics with strong scientific computing and/or mathematics background. Three (3) years or more experience working in software development and/or data science in large projects in industry. Additional education may substitute for required experience, and additional related experience may substitute for required education beyond a high school diploma/graduation equivalent, to the extent permitted by the JHU equivalency formula. Preferred Qualifications PhD in a quantitative discipline. Five years or more experience working in software development and/or data science in industry. Experience with articulating and translating business/application questions and translating these into software and statistical techniques to arrive at an answer using available data. Demonstrated leadership and self-direction. Willingness to both teach others and learn new techniques. Demonstrated skills in selecting the right tools given a data analysis problem. Effective written and verbal communication skills. Classified Title: Scientific Software Engineer Role/Level/Range: APPTSTAF/01/ST Starting Salary Range: Commensurate w/exp.) Employee group: Full Time Schedule: 37.5 hrs/wk, M-F FLSA Status: Exempt Location: Hybrid/Homewood Campus Department name: DSAI Institute Personnel area: Whiting School of Engineering Total Rewards The referenced base salary range represents the low and high end of Johns Hopkins University's salary range for this position. Not all candidates will be eligible for the upper end of the salary range. Exact salary will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, market conditions, education/training and other qualifications. Johns Hopkins offers a total rewards package that supports our employees' health, life, career and retirement. More information can be found here: . Education and Experience Equivalency Please refer to the job description above to see which forms of equivalency are permitted for this position. If permitted, equivalencies will follow these guidelines: JHU Equivalency Formula: 30 undergraduate degree credits (semester hours) or 18 graduate degree credits may substitute for one year of experience. Additional related experience may substitute for required education on the same basis. For jobs where equivalency is permitted, up to two years of non-related college course work may be applied towards the total minimum education/experience required for the respective job. Applicants Completing Studies Applicants who do not meet the posted requirements but are completing their final academic semester/quarter will be considered eligible for employment and may be asked to provide additional information confirming their academic completion date. Background Checks The successful candidate(s) for this position will be subject to a pre-employment background check. Johns Hopkins is committed to hiring individuals with a justice-involved background, consistent with applicable policies and current practice. A prior criminal history does not automatically preclude candidates from employment at Johns Hopkins University. In accordance with applicable law, the university will review, on an individual basis, the date of a candidate's conviction, the nature of the conviction and how the conviction relates to an essential job-related qualification or function. Diversity and Inclusion The Johns Hopkins University values diversity, equity and inclusion and advances these through our key strategic framework, the JHU Roadmap on Diversity and Inclusion . Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. EEO is the Law Accommodation Information If you are interested in applying for employment with The Johns Hopkins University and require special assistance or accommodation during any part of the pre-employment process, please contact the Talent Acquisition Office at . For TTY users, call via Maryland Relay or dial 711. For more information about workplace accommodations or accessibility at Johns Hopkins University, please visit . Vaccine Requirements Johns Hopkins University requires all faculty, staff, and students to receive the seasonal flu vaccine. Exceptions to the flu vaccine requirements may be provided to individuals for religious beliefs or medical reasons. Requests for an exception must be submitted to the JHU vaccination registry. The following additional provisions may apply, depending upon campus. Your recruiter will advise accordingly. The pre-employment physical for positions in clinical areas, laboratories, working with research subjects, or involving community contact requires documentation of immune status against Rubella (German measles), Rubeola (Measles), Mumps, Varicella (chickenpox), Hepatitis B and documentation of having received the Tdap (Tetanus, diphtheria, pertussis) vaccination. This may include documentation of having two (2) MMR vaccines; two (2) Varicella vaccines; or antibody status to these diseases from laboratory testing . click apply for full job details
Assistant/Associate Professor in Computer Science (Precision Health and Environment Cluster Hire) Fall 2026 Location: Knoxville, TN, United States Open Date: Aug 28, 2025 Description: The Min H. Kao Department of Electrical Engineering and Computer Science (EECS ) at The University of Tennessee, Knoxville ( UTK ) is seeking candidates for one (1) tenure-track faculty position at either the assistant or associate professor level in computer science. The area of focus is Natural Language Processing (NLP) broadly defined, including AI areas such as Large Language Models and multimodal Generative Artificial Intelligence (GenAI). This search is to recruit a future leader on campus to lead basic research in GenAI and interdisciplinary research at the cross section of GenAI and vast amounts of healthcare records and diverse healthcare/biomedical applications. This search is part of the Precision Health and Environment Cluster Hire across multiple UTK departments. Precision Health and Environment Cluster Hire The University of Tennessee Knoxville is searching for additional faculty to strengthen the university's position as a global leader in Precision Health and Environment research; this position is among them and will begin August 1, 2026. Recruitment into Precision Health & Environment creates opportunities to build bold agendas that advance big ideas. The successful candidate will join a team of approximately 50 established and successful faculty with shared and complementary research interests in artificial intelligence (AI), health informatics, health information and communication, epidemiology, environmental engineering, systems modeling, natural language processing, and machine learning and a strong desire to grow the scholarly and educational impact of their work. For early career faculty, the cluster also offers a unique framework for professional development and mentorship within a rich transdisciplinary environment. For more information about PHE please visit - . The ideal candidate for this position has a collaborative mindset and prioritizes working with colleagues to realize shared research and educational achievements, including large-scale proposals, joint publications, and new transdisciplinary curricular programming. This unique opportunity may include joint appointments in other participating departments. As Tennessee's flagship land-grant institution, UT is particularly interested in recruiting candidates who are deeply connected to the organizations and communities in which their work will have translational impact, as well as those who will contribute to a climate that values diversity and inclusion. Researchers in the PHE cluster have additional collaboration opportunities through the UT Health Science Center, UT Medical Center, Tennessee Institute of Surgical Innovation, Institute for a Secure and Sustainable Environment, the Tennessee Water Resources Research Center, and the Baker School of Public Policy and Public Affairs. In addition, as the leading university partner in UT-Battelle, the management company for Oak Ridge National Laboratory (ORNL), UTK offers extraordinary opportunities for cutting-edge research in science and engineering with the UT-Oak Ridge Innovation Institute (UT-ORII). Through a streamlined IRB process, UTK researchers have access to a unique rEDW (a research Enterprise Data Warehouse) system, which is a result of decade-long continued investment by the University of Tennessee. rEDW includes rich anonymized healthcare data, such as electronic health records (HER) on over 4 million patients, the associated medical imaging, digital radiology and pathology data, the associated location data for social determinants of health study, as well as genomics data on over 13 thousand children linked to EHR data for genotype-phenotype studies. UTK is the state's flagship campus and leading research institution with a strong partnership with the nearby Oak Ridge National Laboratory (ORNL), where many UTK faculty have ongoing joint positions and/or joint research projects. As a strategic investment, UTK is leading the AI Tennessee , a research and education initiative by the State and the University to engage with academic, industry and community partners across Tennessee to leverage the benefits of AI across all disciplines and economic sections. The Tickle College of Engineering (TCE) is in the midst of an unprecedented period of growth and success, including adding over 30 new faculty to the college as part of ambitious hiring campaigns led by Chancellor Donde Plowman and Dean Matthew Mench. The college has set records in research expenditures, enrollment, incoming student GPA, intellectual property development, and USNWR rank in the past three years. New facilities include the state-of-the art Zeanah Engineering Complex, the University of Tennessee Manufacturing and Design Enterprise (TN-MADE) facility, and the Innovation South building now under construction that will house UTK's Fibers and Composites Manufacturing Facility (FCMF). TCE currently has 203 tenure/tenure track and 79 non-tenure track faculty in its nine academic departments and offers 11 undergraduate, 16 MS, and 15 PhD/DE degree programs. Affiliated with TCE and located in Tullahoma, Tennessee, the UT Space Institute is a hub of aerospace and defense research. The college is also home to eight research centers and three interdisciplinary institutes. With approximately 4,300 undergraduate and 1,500 graduate students, the college sits 29th among public universities in the most recent U.S. News and World Report graduate rankings. Faculty in the college have won 29 early career awards (NSF, DOE, DARPA, AFOSR, and ARO) since 2016. In FY24, the college had annual research expenditures of $113.6M. EECS at UTK has 49 full-time T/TT faculty members, three members of the National Academy of Engineering, 15 IEEE Fellows, 13 NSF/DOE CAREER awardees, and 15 ranked in World's Top 2% Scientists as compiled by Stanford. The department has a growing enrollment of more than 1000 undergraduate and 450 graduate students across the three majors of Electrical Engineering, Computer Engineering, and Computer Science. In addition, the department offers undergraduate minors in computer science, cybersecurity, datacenter technology and management, and machine learning. Successful faculty candidates will be expected to contribute to the continued growth and excellence of EECS. UTK is in Knoxville, TN. The city of Knoxville is a hidden gem with an elegant and walkable downtown, rich and varied nightlife, vibrant neighborhoods, eclectic restaurants, and amazing access to outdoor activities of all kinds as well as exciting cultural events throughout the year. Knoxville is within an easy driving distance to Nashville, Atlanta, Asheville, and the Great Smoky Mountains National Park. From Knoxville's TYS Airport, Knoxville has nonstop flights to 24 major US airports, including DC, NYC, Atlanta, Baltimore, Boston, Charlotte, Chicago, Dallas, Denver, Detroit, Houston, Las Vegas, Miami, Nashville, Orlando, Philadelphia, and Phoenix. In addition, Knoxville and the surrounding areas boast great K-12 schools and one of the most highly educated populations in the entire US. With one of the lowest costs of living in the country, Knoxville was recently recognized in U.S. News and World Report as the 29th best place to live in the U.S. In fact, in 2024, US News ranked the State of Tennessee as in fiscal stability, in economy, and in infrastructure. Qualifications: Minimum Qualifications: A PhD degree in Computer Science, Computer Engineering, or a related discipline at the time of appointment.Preferred Qualifications: Candidates with previous experience working in the convergent area of natural language processing, large language models, multimodal machine learning, and healthcare/biomedical applications. For an Appointment at the Assistant Professor rank: The candidate is expected to show potential for obtaining funding for the research programs, and for participation in interdisciplinary teams. The candidate is also expected to show effective, high-quality teaching skills, and ability to effectively mentor undergraduate and graduate students. For an Appointment at the Associate Professor rank: The candidate is expected to have conducted nationally/internationally recognized research works and show strong leadership potential. The candidate is also expected to show effective, high-quality teaching skills, and ability to effectively mentor undergraduate and graduate students. Application Instructions: The application deadline is November 17, 2025. Applications received after the deadline may be considered until the position is filled. Please submit the following items online in Interfolio to complete your application: Cover Letter Curriculum Vitae Research Statement Teaching Statement Names and Contact Information of Three References Questions should be forwarded to the search committee chair, Dr. Jian Huang at . Equal Employment Opportunity Statement: All qualified applicants will receive equal consideration for employment and admission without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity, age, physical or mental disability, genetic information, veteran status, and parental status, or any other characteristic protected by federal or state law. In accordance with the requirements of Title VI of the Civil Rights Act of 1964, Title IX of the Education Amendments of 1972 . click apply for full job details
01/14/2026
Full time
Assistant/Associate Professor in Computer Science (Precision Health and Environment Cluster Hire) Fall 2026 Location: Knoxville, TN, United States Open Date: Aug 28, 2025 Description: The Min H. Kao Department of Electrical Engineering and Computer Science (EECS ) at The University of Tennessee, Knoxville ( UTK ) is seeking candidates for one (1) tenure-track faculty position at either the assistant or associate professor level in computer science. The area of focus is Natural Language Processing (NLP) broadly defined, including AI areas such as Large Language Models and multimodal Generative Artificial Intelligence (GenAI). This search is to recruit a future leader on campus to lead basic research in GenAI and interdisciplinary research at the cross section of GenAI and vast amounts of healthcare records and diverse healthcare/biomedical applications. This search is part of the Precision Health and Environment Cluster Hire across multiple UTK departments. Precision Health and Environment Cluster Hire The University of Tennessee Knoxville is searching for additional faculty to strengthen the university's position as a global leader in Precision Health and Environment research; this position is among them and will begin August 1, 2026. Recruitment into Precision Health & Environment creates opportunities to build bold agendas that advance big ideas. The successful candidate will join a team of approximately 50 established and successful faculty with shared and complementary research interests in artificial intelligence (AI), health informatics, health information and communication, epidemiology, environmental engineering, systems modeling, natural language processing, and machine learning and a strong desire to grow the scholarly and educational impact of their work. For early career faculty, the cluster also offers a unique framework for professional development and mentorship within a rich transdisciplinary environment. For more information about PHE please visit - . The ideal candidate for this position has a collaborative mindset and prioritizes working with colleagues to realize shared research and educational achievements, including large-scale proposals, joint publications, and new transdisciplinary curricular programming. This unique opportunity may include joint appointments in other participating departments. As Tennessee's flagship land-grant institution, UT is particularly interested in recruiting candidates who are deeply connected to the organizations and communities in which their work will have translational impact, as well as those who will contribute to a climate that values diversity and inclusion. Researchers in the PHE cluster have additional collaboration opportunities through the UT Health Science Center, UT Medical Center, Tennessee Institute of Surgical Innovation, Institute for a Secure and Sustainable Environment, the Tennessee Water Resources Research Center, and the Baker School of Public Policy and Public Affairs. In addition, as the leading university partner in UT-Battelle, the management company for Oak Ridge National Laboratory (ORNL), UTK offers extraordinary opportunities for cutting-edge research in science and engineering with the UT-Oak Ridge Innovation Institute (UT-ORII). Through a streamlined IRB process, UTK researchers have access to a unique rEDW (a research Enterprise Data Warehouse) system, which is a result of decade-long continued investment by the University of Tennessee. rEDW includes rich anonymized healthcare data, such as electronic health records (HER) on over 4 million patients, the associated medical imaging, digital radiology and pathology data, the associated location data for social determinants of health study, as well as genomics data on over 13 thousand children linked to EHR data for genotype-phenotype studies. UTK is the state's flagship campus and leading research institution with a strong partnership with the nearby Oak Ridge National Laboratory (ORNL), where many UTK faculty have ongoing joint positions and/or joint research projects. As a strategic investment, UTK is leading the AI Tennessee , a research and education initiative by the State and the University to engage with academic, industry and community partners across Tennessee to leverage the benefits of AI across all disciplines and economic sections. The Tickle College of Engineering (TCE) is in the midst of an unprecedented period of growth and success, including adding over 30 new faculty to the college as part of ambitious hiring campaigns led by Chancellor Donde Plowman and Dean Matthew Mench. The college has set records in research expenditures, enrollment, incoming student GPA, intellectual property development, and USNWR rank in the past three years. New facilities include the state-of-the art Zeanah Engineering Complex, the University of Tennessee Manufacturing and Design Enterprise (TN-MADE) facility, and the Innovation South building now under construction that will house UTK's Fibers and Composites Manufacturing Facility (FCMF). TCE currently has 203 tenure/tenure track and 79 non-tenure track faculty in its nine academic departments and offers 11 undergraduate, 16 MS, and 15 PhD/DE degree programs. Affiliated with TCE and located in Tullahoma, Tennessee, the UT Space Institute is a hub of aerospace and defense research. The college is also home to eight research centers and three interdisciplinary institutes. With approximately 4,300 undergraduate and 1,500 graduate students, the college sits 29th among public universities in the most recent U.S. News and World Report graduate rankings. Faculty in the college have won 29 early career awards (NSF, DOE, DARPA, AFOSR, and ARO) since 2016. In FY24, the college had annual research expenditures of $113.6M. EECS at UTK has 49 full-time T/TT faculty members, three members of the National Academy of Engineering, 15 IEEE Fellows, 13 NSF/DOE CAREER awardees, and 15 ranked in World's Top 2% Scientists as compiled by Stanford. The department has a growing enrollment of more than 1000 undergraduate and 450 graduate students across the three majors of Electrical Engineering, Computer Engineering, and Computer Science. In addition, the department offers undergraduate minors in computer science, cybersecurity, datacenter technology and management, and machine learning. Successful faculty candidates will be expected to contribute to the continued growth and excellence of EECS. UTK is in Knoxville, TN. The city of Knoxville is a hidden gem with an elegant and walkable downtown, rich and varied nightlife, vibrant neighborhoods, eclectic restaurants, and amazing access to outdoor activities of all kinds as well as exciting cultural events throughout the year. Knoxville is within an easy driving distance to Nashville, Atlanta, Asheville, and the Great Smoky Mountains National Park. From Knoxville's TYS Airport, Knoxville has nonstop flights to 24 major US airports, including DC, NYC, Atlanta, Baltimore, Boston, Charlotte, Chicago, Dallas, Denver, Detroit, Houston, Las Vegas, Miami, Nashville, Orlando, Philadelphia, and Phoenix. In addition, Knoxville and the surrounding areas boast great K-12 schools and one of the most highly educated populations in the entire US. With one of the lowest costs of living in the country, Knoxville was recently recognized in U.S. News and World Report as the 29th best place to live in the U.S. In fact, in 2024, US News ranked the State of Tennessee as in fiscal stability, in economy, and in infrastructure. Qualifications: Minimum Qualifications: A PhD degree in Computer Science, Computer Engineering, or a related discipline at the time of appointment.Preferred Qualifications: Candidates with previous experience working in the convergent area of natural language processing, large language models, multimodal machine learning, and healthcare/biomedical applications. For an Appointment at the Assistant Professor rank: The candidate is expected to show potential for obtaining funding for the research programs, and for participation in interdisciplinary teams. The candidate is also expected to show effective, high-quality teaching skills, and ability to effectively mentor undergraduate and graduate students. For an Appointment at the Associate Professor rank: The candidate is expected to have conducted nationally/internationally recognized research works and show strong leadership potential. The candidate is also expected to show effective, high-quality teaching skills, and ability to effectively mentor undergraduate and graduate students. Application Instructions: The application deadline is November 17, 2025. Applications received after the deadline may be considered until the position is filled. Please submit the following items online in Interfolio to complete your application: Cover Letter Curriculum Vitae Research Statement Teaching Statement Names and Contact Information of Three References Questions should be forwarded to the search committee chair, Dr. Jian Huang at . Equal Employment Opportunity Statement: All qualified applicants will receive equal consideration for employment and admission without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity, age, physical or mental disability, genetic information, veteran status, and parental status, or any other characteristic protected by federal or state law. In accordance with the requirements of Title VI of the Civil Rights Act of 1964, Title IX of the Education Amendments of 1972 . click apply for full job details
Senior Data Scientist, Wharton Graduate Division University Overview The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America's Best Large Employers in 2023. Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access to a range of educational, cultural, and recreational activities. With its historical significance and landmarks, lively cultural offerings, and wide variety of atmospheres, Philadelphia is the perfect place to call home for work and play. The University offers a competitive benefits package that includes excellent healthcare and tuition benefits for employees and their families, generous retirement benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more. Posted Job Title Senior Data Scientist, Wharton Graduate Division Job Profile Title Job Description Summary The Senior Data Scientist - Algorithmic Systems is a key member of the Data Science team supporting the full-time, Executive, and Global Wharton MBA programs. Reporting to the Director of Data Science, this role is instrumental in advancing analytics-driven solutions that enhance the student experience and improve office productivity. This position will lead the enhancement, maintenance, and expansion of Wharton's Course Match registration system-Wharton's MBA registration system that allocates course schedule. As a technically advanced implementation of modern mechanism design, Course Match is central to the MBA academic experience and requires continued refinement and innovation. The Senior Data Scientist will contribute directly to its algorithm and infrastructure integration, with responsibilities spanning optimization tuning, heuristic development (e.g., Tabu Search), performance diagnostics, and production-level feature development. The role demands expertise in mixed-integer programming (MIP), fluency in Python, and the ability to deliver clean, modular, and maintainable production code. The position also plays a strategic role in evaluating and integrating a new optimization engine into Course Match, collaborating with internal stakeholders such as the MBA Program Office, Wharton Computing, and the University Registrar, and engaging with external vendors to ensure system robustness, scalability, and alignment with institutional practices, policies, and priorities. Beyond Course Match, the Senior Data Scientist will contribute to a broader portfolio of academic affairs and data science initiatives, including AI integration, predictive modeling, statistical analysis, machine learning, and analytics infrastructure development. A major focus will be building reusable, scalable, and automated Python-based solutions that enable long-term innovation within the MBA Program Office and Wharton Computing. The ideal candidate brings a strong background in algorithmic systems and applied data science, with a demonstrated ability to manage complex technical projects from ideation through deployment. They will be adept at translating technical insights for diverse audiences, fostering cross-functional collaboration, and providing mentorship and thought leadership to colleagues. Outstanding communication skills and a highly collaborative mindset are essential. This role is a two-year appointment, with the potential for continuation. Job Description Duties Lead development and ownership of Course Match Serve as the primary developer and systems owner for Course Match registration system, including algorithm and infrastructure integration. Algorithmic and performance refinement Design and implement enhancements to Course Match's algorithmic infrastructure, including optimization tuning, performance analysis, heuristic development (e.g., Tabu Search), mixed-integer programming (MIP), and system diagnostics. Internal and external collaboration and system integration Partner with internal stakeholders and external vendors to support the integration of a new optimization engine. Participate in vendor evaluation, architecture planning, and system design discussions to ensure successful deployment and infrastructure integration. Data science project contributions beyond Course Match Contribute to high-impact academic affairs and data science initiatives beyond Course Match, including AI integration, process automation, and machine learning. Build robust Python-based solutions that promote reusability, automation, and scalability. Infrastructure development and automation Develop and maintain analytics infrastructure and automation pipelines to support data workflows across the MBA Program Office and Wharton Computing. Apply best practices in software development, testing, and version control. Qualifications Master's degree and 1-2 years of experience in a quantitative field such as Engineering, Data Science, Computer Science, Operations Research, Mathematics, or a related discipline is required; however, a Master's degree and at least 5 years of relevant experience is strongly preferred. Strong programming proficiency in Python is required, including experience developing modular, well-documented, and production-grade code. Familiarity with version control systems (e.g., Git) and test-driven development is strongly preferred. Demonstrated expertise in algorithmic systems or large-scale computational frameworks, with hands-on experience in one or more of the following: heuristic search methods (e.g., Tabu Search), combinatorial optimization, mixed-integer programming (MIP), or algorithmic market design. Experience working within multi-component software environments and integrating external libraries, APIs, or platforms. Familiarity with systems integration and data engineering practices is preferred. Experience supporting or participating in vendor evaluations or third-party system integrations is strongly preferred. Ability to engage with external vendors on technical system design, performance review, and implementation. Applied experience with core data science methods, including statistical modeling, predictive analytics, and machine learning. Proficiency with tools such as R, SQL, and Power BI is a plus. Job Location - City, State Philadelphia, Pennsylvania Department / School Wharton School Pay Range $100,000.00 - $140,000.00 Annual Rate Salary offers are made based on the candidate's qualifications, experience, skills, and education as they directly relate to the requirements of the position, and in alignment with salary ranges based on external market data for the job's level. Internal organization and peer data at Penn are also considered. Equal Opportunity Statement The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state or local law. Special Requirements Background checks may be required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job. University Benefits Health, Life, and Flexible Spending Accounts: Penn offers comprehensive medical, prescription, behavioral health, dental, vision, and life insurance benefits to protect you and your family's health and welfare. You can also use flexible spending accounts to pay for eligible health care and dependent care expenses with pre-tax dollars. Tuition: Take advantage of Penn's exceptional tuition benefits. You, your spouse, and your dependent children can get tuition assistance here at Penn. Your dependent children are also eligible for tuition assistance at other institutions. Retirement: Penn offers generous retirement plans to help you save for your future. Penn's Basic, Matching, and Supplemental retirement plans allow you to save for retirement on a pre-tax or Roth basis. Choose from a wide variety of investment options through TIAA and Vanguard. Time Away from Work: Penn provides you with a substantial amount of time away from work during the course of the year. This allows you to relax, take vacations, attend to personal affairs, recover from illness or injury, spend time with family-whatever your personal needs may be. Long-Term Care Insurance: In partnership with Genworth Financial, Penn offers faculty and staff (and your eligible family members) long-term care insurance to help you cover some of the costs of long-term care services received at home, in the community or in a nursing facility. If you apply when you're newly hired . click apply for full job details
01/14/2026
Full time
Senior Data Scientist, Wharton Graduate Division University Overview The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America's Best Large Employers in 2023. Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access to a range of educational, cultural, and recreational activities. With its historical significance and landmarks, lively cultural offerings, and wide variety of atmospheres, Philadelphia is the perfect place to call home for work and play. The University offers a competitive benefits package that includes excellent healthcare and tuition benefits for employees and their families, generous retirement benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more. Posted Job Title Senior Data Scientist, Wharton Graduate Division Job Profile Title Job Description Summary The Senior Data Scientist - Algorithmic Systems is a key member of the Data Science team supporting the full-time, Executive, and Global Wharton MBA programs. Reporting to the Director of Data Science, this role is instrumental in advancing analytics-driven solutions that enhance the student experience and improve office productivity. This position will lead the enhancement, maintenance, and expansion of Wharton's Course Match registration system-Wharton's MBA registration system that allocates course schedule. As a technically advanced implementation of modern mechanism design, Course Match is central to the MBA academic experience and requires continued refinement and innovation. The Senior Data Scientist will contribute directly to its algorithm and infrastructure integration, with responsibilities spanning optimization tuning, heuristic development (e.g., Tabu Search), performance diagnostics, and production-level feature development. The role demands expertise in mixed-integer programming (MIP), fluency in Python, and the ability to deliver clean, modular, and maintainable production code. The position also plays a strategic role in evaluating and integrating a new optimization engine into Course Match, collaborating with internal stakeholders such as the MBA Program Office, Wharton Computing, and the University Registrar, and engaging with external vendors to ensure system robustness, scalability, and alignment with institutional practices, policies, and priorities. Beyond Course Match, the Senior Data Scientist will contribute to a broader portfolio of academic affairs and data science initiatives, including AI integration, predictive modeling, statistical analysis, machine learning, and analytics infrastructure development. A major focus will be building reusable, scalable, and automated Python-based solutions that enable long-term innovation within the MBA Program Office and Wharton Computing. The ideal candidate brings a strong background in algorithmic systems and applied data science, with a demonstrated ability to manage complex technical projects from ideation through deployment. They will be adept at translating technical insights for diverse audiences, fostering cross-functional collaboration, and providing mentorship and thought leadership to colleagues. Outstanding communication skills and a highly collaborative mindset are essential. This role is a two-year appointment, with the potential for continuation. Job Description Duties Lead development and ownership of Course Match Serve as the primary developer and systems owner for Course Match registration system, including algorithm and infrastructure integration. Algorithmic and performance refinement Design and implement enhancements to Course Match's algorithmic infrastructure, including optimization tuning, performance analysis, heuristic development (e.g., Tabu Search), mixed-integer programming (MIP), and system diagnostics. Internal and external collaboration and system integration Partner with internal stakeholders and external vendors to support the integration of a new optimization engine. Participate in vendor evaluation, architecture planning, and system design discussions to ensure successful deployment and infrastructure integration. Data science project contributions beyond Course Match Contribute to high-impact academic affairs and data science initiatives beyond Course Match, including AI integration, process automation, and machine learning. Build robust Python-based solutions that promote reusability, automation, and scalability. Infrastructure development and automation Develop and maintain analytics infrastructure and automation pipelines to support data workflows across the MBA Program Office and Wharton Computing. Apply best practices in software development, testing, and version control. Qualifications Master's degree and 1-2 years of experience in a quantitative field such as Engineering, Data Science, Computer Science, Operations Research, Mathematics, or a related discipline is required; however, a Master's degree and at least 5 years of relevant experience is strongly preferred. Strong programming proficiency in Python is required, including experience developing modular, well-documented, and production-grade code. Familiarity with version control systems (e.g., Git) and test-driven development is strongly preferred. Demonstrated expertise in algorithmic systems or large-scale computational frameworks, with hands-on experience in one or more of the following: heuristic search methods (e.g., Tabu Search), combinatorial optimization, mixed-integer programming (MIP), or algorithmic market design. Experience working within multi-component software environments and integrating external libraries, APIs, or platforms. Familiarity with systems integration and data engineering practices is preferred. Experience supporting or participating in vendor evaluations or third-party system integrations is strongly preferred. Ability to engage with external vendors on technical system design, performance review, and implementation. Applied experience with core data science methods, including statistical modeling, predictive analytics, and machine learning. Proficiency with tools such as R, SQL, and Power BI is a plus. Job Location - City, State Philadelphia, Pennsylvania Department / School Wharton School Pay Range $100,000.00 - $140,000.00 Annual Rate Salary offers are made based on the candidate's qualifications, experience, skills, and education as they directly relate to the requirements of the position, and in alignment with salary ranges based on external market data for the job's level. Internal organization and peer data at Penn are also considered. Equal Opportunity Statement The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state or local law. Special Requirements Background checks may be required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job. University Benefits Health, Life, and Flexible Spending Accounts: Penn offers comprehensive medical, prescription, behavioral health, dental, vision, and life insurance benefits to protect you and your family's health and welfare. You can also use flexible spending accounts to pay for eligible health care and dependent care expenses with pre-tax dollars. Tuition: Take advantage of Penn's exceptional tuition benefits. You, your spouse, and your dependent children can get tuition assistance here at Penn. Your dependent children are also eligible for tuition assistance at other institutions. Retirement: Penn offers generous retirement plans to help you save for your future. Penn's Basic, Matching, and Supplemental retirement plans allow you to save for retirement on a pre-tax or Roth basis. Choose from a wide variety of investment options through TIAA and Vanguard. Time Away from Work: Penn provides you with a substantial amount of time away from work during the course of the year. This allows you to relax, take vacations, attend to personal affairs, recover from illness or injury, spend time with family-whatever your personal needs may be. Long-Term Care Insurance: In partnership with Genworth Financial, Penn offers faculty and staff (and your eligible family members) long-term care insurance to help you cover some of the costs of long-term care services received at home, in the community or in a nursing facility. If you apply when you're newly hired . click apply for full job details
