AFSIM Analyst

As an AFSIM Analyst in the Data Science & AI Department at Johns Hopkins Applied Physics Laboratory (APL), you will design, implement, and analyze advanced AFSIM simulations to evaluate defense and aerospace systems and concepts. You will apply data science and AI techniques to complex mission problems, collaborating with multidisciplinary experts in a mission-driven, inclusive environment. APL offers opportunities for impactful research, professional growth, advanced degrees, and innovation in support of critical national security and space challenges.

Responsibilities

• Develop, run, and analyze AFSIM-based simulations to assess defense and aerospace concepts and systems
• Apply data science and AI methods to design, execute, and evaluate complex modeling and simulation experiments
• Collaborate with multidisciplinary teams to translate sponsor problems into quantitative simulation studies
• Validate, document, and present modeling assumptions, methods, and results to technical and non-technical stakeholders
• Develop tools, scripts, and workflows to automate simulation, data processing, and visualization
• Support research reports, briefings, and publications that inform national security decisions
• Stay current on advances in modeling, simulation, AI, and defense mission domains to enhance analyses

Required Skills

• AFSIM modeling and scenario development
• Python programming
• C++ or C# programming
• Statistical data analysis
• Machine learning / AI methods
• Defense and aerospace domain knowledge
• Systems engineering concepts
• Simulation verification and validation
• Data visualization (e.g., matplotlib, Plotly)
• Version control (e.g., Git)