PhD Student in (multi-agent) reinforcement learning for health-aware control 1 (Lausanne, CH) @ EPFL

PhD Student in (multi-agent) reinforcement learning for health-aware control 1 (Lausanne, CH) at EPFL. Location: Lausanne, Vaud, Switzerland. Role: develop RL, integrate dynamics, design policies Requirements: PhD candidate with MSc in Mechanical Engineering, Computational Mechanics, Engineering Science, Physics, or Applied Mathematics; strong ML foundation; modelling physical systems; multi-agent RL experience desirable; strong programming; English proficiency. Category: Research and Development (R&D) Seniority: No Prior Experience Required Tools: Python, Machine Learning, Deep Learning, Graph Neural Networks, Physics-informed Modeling Commitment: Full Time, Contract Workplace: Onsite Languages: English