Researcher / Developer for Motion Cueing Algorithm (MCA) and Reinforcement Learning

This role focuses on the development and optimization of Motion Cueing Algorithms (MCA) for flight simulators, utilizing Reinforcement Learning to enhance simulation fidelity and user immersion. The position involves researching methods to quantify simulation quality, creating metrics for simulator performance, and developing advanced RL-based MCA solutions that account for human perception and physical platform constraints. The role requires collaboration on studies to validate metrics and explore new algorithmic approaches for flight system technology.