PhD: Data-Driven Distributed Game Theory (ERC-funded)

Delft; Delft; On-site; EUR 36,000 - 45,000; Full time

Job summary

TU Delft invites applications for a PhD position focused on data-driven distributed game theory within the ARGON ERC-funded project. You will advance distributed computational methods for game-theoretic control in large-scale multi-agent systems, spanning energy grids, autonomous mobility, and human-machine collaboration.

You will work at the Delft Center for Systems and Control (DCSC) in the Faculty of Mechanical Engineering, contributing to theory and computation while teaching and mentoring

Qualifications

• MSc in Systems and Control, Electrical/Mechanical Engineering, Applied Mathematics, or related field (or close to completion).
• Strong analytical and critical thinking skills with curiosity and diligence.
• Excellent English communication; Dutch not required.

Responsibilities

• Analyze complexity of distributed game equilibrium problems.
• Develop data-driven, fast, scalable methods for game equilibrium problems.
• Develop an open-source toolbox for dynamic game equilibrium problems.
• Engage in teaching activities such as supervising lab sessions and courses.

Skills

Analytical thinking

Communication skills

Independent work

Team player

Education

MSc degree in Systems and Control (or close to completion)

Job description

TU Delft invites applications for a PhD position focused on data-driven distributed game theory within the ARGON ERC-funded project. You will advance distributed computational methods for game-theoretic control in large-scale multi-agent systems, spanning energy grids, autonomous mobility, and human-machine collaboration.

You will work at the Delft Center for Systems and Control (DCSC) in the Faculty of Mechanical Engineering, contributing to theory and computation while teaching and mentoring