Thèse CIFRE pour le développement de solutions IA dans la robotique pour la conception de robots humanoïdes et la programmation de robots ( H/F)
Core
Developing embedded AI solutions for industrial robotics, specifically focusing on humanoid robot control and programming to simplify industrial usage.
Role type
CIFRE PhD Researcher (Embedded AI & Robotics)
Builds
New embedded AI techniques (Reinforcement Learning, VLA, Imitation Learning) and control architectures for humanoid robots.
Domain
Automotive industry + Industrial Robotics + Embedded AI
Deliverable
production ML models
Required skills
Signal processing, Image processing, Mechatronics, Embedded intelligent systems, Reinforcement Learning, Vision-Language-Action (VLA), Imitation Learning
Preferred skills
English (TOEIC 750+)
Technologies
Reinforcement Learning, VLA, Imitation Learning
Responsibilities
Define, test, and experiment with new embedded AI solutions; Design control and piloting architectures for humanoid robots; Integrate into the digital transformation team for Renault factories.
Seniority
PhD Candidate (36 months)