About this role
PhD Student in (multi-agent) reinforcement learning for health-aware control (Lausanne, CH) at EPFL. Location: Lausanne, Vaud, Switzerland. Role: developing RL, integrating health, designing control Requirements: PhD candidate with MSc in Engineering, Control, Computer Science, Physics, Applied Mathematics; strong ML and control background; English proficiency mandatory. Category: Research and Development (R&D) Seniority: Entry Level Tools: Reinforcement Learning, Machine Learning, Deep Learning, Optimization, Dynamical Systems, Physics-Informed Modeling Commitment: Full Time, Contract Workplace: Onsite Languages: English