• Analyze race, vehicle, tire, weather, and simulation data to identify trends and performance opportunities.
• Support the development, testing, and improvement of race-strategy and vehicle-performance simulation tools.
• Apply engineering fundamentals, statistics, optimization, and dynamic-systems concepts to practical motorsports problems.
• Develop scripts, visualizations, and analytical workflows that improve the speed, consistency, and usability of engineering decisions.
• Explore appropriate applications of artificial intelligence and machine learning, including performance prediction, time-series analysis, classification, anomaly detection, parameter estimation, and surrogate modeling.
• Validate analytical and machine-learning results against engineering expectations, simulation outputs, and observed race data.
• Document methods, assumptions, limitations, and results, and communicate recommendations to technical and cross-functional audiences.