PhD in Multi-Agent Systems, Reinforcement Learning, Or Ai

Are you interested in working at the intersection of optimal control, AI algorithms, and game theory, on problems that matter for real-world critical infrastructure? /nThis PhD position offers the opportunity to develop strong competencies in multi-agent systems, learning and optimization, while addressing a timely and high-impact challenge: the growing use of AI agents in electricity markets. /nBy joining our group of Dynamical Systems at DTU – department of Applied Mathematics and Computer Science, you will build rigorous mathematical and algorithmic tools to analyze how strategic, learning-based agents interact, and to design market rules that steer their learning dynamics toward stable, efficient, and safe outcomes. /nLocation: Kgs. Lyngby, Denmark.