PhD Position in Data-Driven Distributed Game Theory
Develop cutting-edge game-theoretic control methods for large-scale multi-agent systems in sustainable energy and autonomous mobility.
Best for:Best for master’s graduates in Systems and Control, Electrical/Mechanical Engineering, or Applied Mathematics with a strong interest in game theory, optimization, and distributed systems.
Overview
This ERC-funded PhD position at Delft University of Technology (TU Delft) focuses on advancing distributed computational methods for game-theoretic control and optimization in complex systems. The project, titled ‘Data-driven Game Theoretic Control for Constrained Systems’ (ARGON), aims to address challenges in multi-agent environments such as power grids, autonomous vehicles, and human-machine collaboration. The successful candidate will conduct theoretical and computational research, designing scalable algorithms for dynamic game equilibrium problems. The role involves collaboration within the Delft Center for Systems and Control (DCSC) and participation in interdisciplinary research networks. Teaching support and mentorship opportunities are also part of the PhD trajectory, preparing candidates for future academic or professional roles.
What you'll do
- Analyze complexity and develop structured decomposition methods for distributed game equilibrium problems.
- Design data-driven, scalable computational algorithms for solving game equilibrium problems in uncertain environments.
- Create an open-source computational toolbox for dynamic game equilibrium problems.
- Conduct theoretical and computational research on dynamic game theory and multi-agent optimization.
- Engage in teaching activities, including supervising students, assisting in courses, and mentoring BSc/MSc students.
Requirements
Degree required: Master’s degree (or close to completion) in Systems and Control, Electrical/Mechanical Engineering, Applied Mathematics, or a related field.
Degree offered: PhD
Language: English; proficiency sufficient for academic research, teaching, and publication.
Instruction: English
- Experience with or strong affinity for Systems and Control, Optimization, or Game Theory.
- Excellent analytical and critical thinking skills.
- Strong command of English (written and spoken).
- Ability to work independently and collaboratively in an international research environment.
- No nationality restrictions.
- No age restrictions.
- No prior experience caps beyond a completed or near-completed Master’s degree.
Funding & terms
How to apply
Deadline: 2026-10-30
Applicants must submit their application via the university’s online portal by the deadline. Required documents include a CV, a statement of motivation and research interests (up to one page), transcripts of all exams and degrees (in English), and up to three research-oriented documents (e.g., thesis or publications). Applications sent via email or post will not be processed.
- CV
- Statement of motivation and research interests (up to one page)
- Transcripts of all exams and obtained degrees (in English)
- Up to 3 research-oriented documents (e.g., thesis, conference/journal publication)
Contact
Sergio Grammatico· Supervisor
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