PhD

This PhD position focuses on analyzing how AI-driven, profit-seeking agents interact in electricity markets and how these interactions shape market equilibria and dynamics. The role involves developing rigorous mathematical and algorithmic tools to understand strategic, learning-based agent behavior and designing market rules that ensure stable, efficient, and safe outcomes for critical infrastructure. The work combines theoretical analysis with numerical experiments to address high-impact challenges in multi-agent systems and optimal control.