Summary:
This PhD position focuses on developing advanced game-theoretic control and optimization methods for modern complex systems, such as renewable energy grids and autonomous vehicles. Funded by the European Research Council (ERC), this project offers a unique opportunity to contribute to significant scientific and societal challenges in a collaborative research environment.
PhD Scholarship in Robust Game Theory for Complex Systems at TU Delft, Netherlands
Designation:
PhD Researcher
Research Area:
- Game Theory
- Optimization
- Multi-Agent Systems
- Stochastic Control
Location:
Delft University of Technology, Netherlands
Eligibility/Qualification:
- MSc degree (or close to completion) in Systems and Control, Electrical/Mechanical Engineering, Applied Mathematics, or a related field
- Experience or strong affinity in Systems and Control, Optimization, or Game Theory
- Excellent analytical and critical thinking skills
- Strong communication skills with excellent command of English (Dutch not required)
Job Description:
| Responsibility | Description |
|---|---|
| Analyze stochastic game equilibrium problems | Conduct theoretical analysis of complex systems |
| Develop data-driven distributionally robust reformulations | Innovate new methodologies for optimization |
| Develop data-driven stochastic equilibrium seeking algorithms | Design algorithms for multi-agent interactions |
| Develop optimal control strategies | Focus on control of stochastic game equilibrium |
| Engage in teaching activities | Supervise workgroups, assist in courses, mentor students |
How to Apply:
Interested candidates should apply no later than June 14, 2026. Please upload the following documents via the application button on the TU Delft website:
- Curriculum vitae
- Statement of motivation and research interests (up to one page)
- Transcripts of all exams taken and obtained degrees (in English)
- Up to 3 research-oriented documents (e.g., thesis, conference/journal publication)
Last Date to Apply:
June 14, 2026
For more information about this vacancy, please contact Prof. Sergio Grammatico at s.grammatico@tudelft.nl or reach out to the HR advisor, Giedo Kocken, at recruitment-me@tudelft.nl.
