Senior Air-to-Air Modeling and Simulation Analyst

Johns Hopkins Applied Physics Laboratory (APL) seeks a Senior Air-to-Air Modeling and Simulation Analyst to develop, implement, and assess advanced models of air-to-air combat systems within the Data Science & AI Department. You will design high fidelity simulations, apply statistical and machine learning techniques, and perform complex data analysis to evaluate system performance and tactics. Collaborating with multi-disciplinary experts, you'll translate operational needs into analytic studies, present technical findings to sponsors, and help shape next generation defense capabilities in a mission-driven, research-focused environment that supports innovation, professional growth, and advanced study.

Responsibilities

• Develop and refine high-fidelity air-to-air combat models and simulations
• Apply data science and AI techniques to assess system performance and tactics
• Design and execute simulation experiments and Monte Carlo analyses
• Validate, verify, and document complex models and analytic workflows
• Collaborate with cross-functional defense and aerospace teams and sponsors
• Translate operational and mission needs into analytic studies and simulations
• Prepare and present clear technical reports and briefings to stakeholders
• Support concept development for next-generation air-to-air systems
• Mentor junior staff in modeling, simulation, and analytical best practices
• Contribute to proposals, research initiatives, and technical publications

Required Skills

• Air-to-air combat modeling and simulation
• Mathematical and physics-based modeling
• Python or MATLAB programming
• Statistical analysis and uncertainty quantification
• Machine learning and AI methods
• Monte Carlo simulation techniques
• Defense and aerospace system analysis
• Model validation and verification
• Data visualization and technical reporting
• Requirements analysis and experiment design