PhD Position: Robust Game Theory for Complex Systems
Modern society depends on complex, interconnected systems such as renewable energy grids, autonomous vehicles and human-machine collaborative systems. Ensuring that these systems operate safely, efficiently and fairly is a major scientific and societal challenge. It requires new approaches to control and decision-making in environments where multiple agents interact under uncertainty and constraints.
In this PhD project at TU Delft, you will develop advanced game-theoretic control and optimization methods to address these challenges. As part of the European Research Council (ERC)-funded project “Data-driven Game Theoretic Control for Constrained Systems” (ARGON), you will work at the forefront of fundamental research with high potential for technological impact.
You will conduct theoretical and computational research on game theory and multi-agent optimization for complex systems. By building on tools from distributionally robust optimization, convex-monotone game theory and data-driven optimal transport, you will develop new frameworks for control and optimization in multi-agent systems. These methods will contribute to applications such as distributed power systems, multi-vehicle automated driving and human-machine collaboration, enabling safer, more efficient and more sustainable solutions.
Post #595
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