Johns Hopkins Applied Physics Laboratory (APL) seeks a Missile Defense Command & Control Analyst to develop, analyze, and assess advanced C2 algorithms and architectures for integrated air and missile defense. You will apply data science, modeling and simulation, and AI/ML techniques to evaluate sensor networks, battle management logic, and decision-support tools under realistic threat scenarios. Collaborating with multidisciplinary experts, you will prototype analytical tools, interpret complex data, brief sponsors, and inform future system concepts-advancing mission-driven national security research in a highly collaborative, ethical, and innovative environment.
Responsibilities
- Develop and analyze command and control algorithms for missile defense missions
- Build and run modeling and simulation experiments for integrated air and missile defense scenarios
- Apply data science and AI/ML methods to evaluate system performance and decision-support tools
- Assess sensor networks, tracking, and battle management logic under realistic threat conditions
- Prototype analytical and visualization tools to support sponsor decision-making
- Document findings in technical reports and present results to Do
- D and government sponsors
- Collaborate with multidisciplinary teams across data science, systems engineering, and operations analysis
- Contribute to future concepts and architectures for missile defense command and control
- Validate models and assumptions against test data and operational insights
- Support proposal writing and internal research and development efforts
Required Skills
- Missile defense systems and C2 domain knowledge
- Modeling and simulation (MATLAB, Python, or similar)
- Data science and statistical analysis
- Machine learning and AI algorithms
- Systems engineering and architecture analysis
- Sensor fusion and tracking algorithms
- Operations research and optimization
- Software development (Python, C++, or Java)
- Visualization and analytical tool development
- Technical writing and sponsor briefing