Overview:
The FAA William J. Hughes Technical Center (WJHTC) for Advanced Aerospace co-located at the Atlantic City International Airport is the nation's premier federal aviation laboratory for advancing the United States National Airspace System (NAS) and sustaining its continued safe and efficient operations. The Aviation Research Division performs research, analyses, and development to enable new technologies, procedures, and training methods that advance aviation technology. The highly technical and diverse workforce at the Technical Center uses more than 25 onsite, specialized aviation safety laboratories to perform their work. In full-scale facilities and state-of-the-art labs, researchers are working toward reducing fatalities and injuries, reducing aircraft losses, creating better designs, improving maintenance and inspection procedures, and enhancing the safety of operations at our nation's airports.
Duties:
The selected candidate will be responsible for providing advanced analytical and technical support in the WJHTC NAS Innovation and Emerging Concepts (NIEC) laboratory, applying artificial intelligence and machine learning techniques to large airport and vertiport simulation datasets. The candidate will identify operational patterns, constraints, and safety or capacity considerations associated with Vertical TakeOff and Landing (VTOL) operations in mixed-use environments. The candidate will collaborate with FAA engineers, scientists, and researchers to validate analytical outputs against operational realities and ensure full alignment with FAA R&D standards. Responsibilities include but are not limited to:
· Designing and implementing data ingestion, cleaning, and structuring workflows to support repeatable analysis of simulation outputs
· Developing machine learning models to generalize and extrapolate findings from one simulated airport or vertiport environment to comparable operational environments
· Conducting predictive analytics and sensitivity analyses to assess throughput, safety margins, infrastructure impacts, and operational tradeoffs
· Building automated analytics pipelines and scenario comparison tools to support rapid iteration across airport configurations and traffic assumptions
· Ensuring model transparency, traceability, and explainability to support engineering validation
· Developing data visualizations and decision-support products that translate complex simulation results into actionable insights for scientists, engineers, researchers, and leadership
· Supporting integration of AI-enabled analytics with existing FAA simulation environments and research workflows
Qualifications:
Candidates must have eight (8) years of related data science experience and a Bachelor’s degree in engineering, math, or science. A Master’s degree in an appropriate discipline will be considered equivalent to two (2) years of relevant experience. Candidates must be a U.S. citizen or qualified to work for a U.S. government agency.
Benefits: Full benefits including 7 weeks paid leave, medical, dental, vision, life insurance, 401K
Salary: Negotiable depending on experience
