CIFRE - Simulation de conduite en réalité étendue : contribution à l’amélioration de la fidélité perceptive, du confort utilisateur et du couplage temps réel avec le jumeau numérique véhicule
Core
Developing a complete XR driving simulator to replace physical prototype evaluation steps, focusing on perceptual fidelity, user comfort, and real-time coupling with digital vehicle twins.
Role type
PhD researcher (CIFRE) in XR simulation and human factors
Builds
XR driving simulator integrating inertial, visual, and haptic feedback for early-stage vehicle concept evaluation
Domain
Automotive industry + Extended Reality (XR) simulation + Human Factors
Deliverable
production ML models | product features | research
Required skills
Real-time VR/XR engine mastery (Unity or Unreal Engine), XR pipelines (OpenXR, reprojection, FOV), Programming (C#, C++, or Python), Data processing and statistics (Python/NumPy/SciPy/Pandas or Matlab), Human factors sensitivity
Preferred skills
Multidisciplinary background (Computer Science + Mechanical Engineering or Ergonomics + VR)
Technologies
Unity, Unreal Engine, OpenXR, Python, C#, C++, Matlab, NumPy, SciPy, Pandas
Responsibilities
Define perceptual fidelity indicators and reproducible measurement methods, Identify XR parameters and driving conditions causing cybersickness, Optimize hybrid interactions between driver and virtual cockpit, Design software architecture for real-time synchronization between dynamic vehicle models and XR rendering, Measure the contribution of XR in early detection of ergonomic, HMI, and ADAS issues
Seniority
PhD level, independent researcher with team collaboration
