A fully funded PhD position is available at Delft University of Technology in the Netherlands, supervised by Professor Sergio Grammatico. The research focuses on data-driven dynamic game theory, with applications in complex systems such as distributed power systems, multi-vehicle automated driving, and human-machine collaboration. The project, titled 'Data-driven Game Theoretic Control for Constrained Systems' (ARGON), is funded by the European Research Council (ERC).

The successful candidate will conduct both theoretical and computational research, developing and applying tools from convex-monotone game theory, model predictive control, and data-driven control. The work will involve multi-agent optimization and robust control strategies, with a strong emphasis on mathematical rigor and practical relevance to engineering systems.

Applicants should hold (or be close to completing) an MSc degree in Systems and Control, Electrical Engineering, Mechanical Engineering, Applied Mathematics, or a related field. A solid background or interest in systems and control, optimization, and game theory is essential. Proficiency in English is required, while knowledge of Dutch is not necessary.

To apply, candidates should prepare a curriculum vitae, a one-page statement of motivation and research interests, transcripts of all exams and degrees (in English), names and contact information for up to three references, and up to three research-oriented documents (such as a thesis or publications). Applications and inquiries should be sent to Prof. Sergio Grammatico at [email protected]. The position will remain open until filled, with a flexible starting date, ideally June 1, 2026.

This opportunity is ideal for candidates interested in advanced research at the intersection of mathematics, engineering, and control theory, and who wish to contribute to cutting-edge developments in dynamic game theory and its applications.