PhD scholarship in AI Agents in Electricity Markets: Equilibria, Multi-agent Learning Dynamics, and Optimal Market Design - DTU Compute

Opportunity summary

Official occupation: ph.d., naturvidenskab og teknik. Employment conditions: Almindelige vilkår. Employer CVR: 30060946. Primary career market: Public Sector, Education & Impact (employer-sector evidence). 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? This 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. By 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. Responsibilities and qualifications The purpose of this PhD position is to understand how AI-driven, profit-seeking agents interact in electricity markets and how these interactions shape market equilibria and dynamics. The project focuses on analyzing learning-based strategic behavior in multi-agent settings and on designing market rules that ensure stable, efficient, and safe operation of critical infrastructure1 …

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