PhD in Data-Driven Distributed Game Theory & Control

1000scholars; Delft; On-site; EUR 38,000 - 49,000; Full time

Benefits offered by this job

8% holiday allowance

End-of-year bonus 8.3%

Discounts on health insurance

Job summary

1000scholars is seeking a PhD candidate to develop distributed computational methods for data-driven game-theoretic control within the ERC-funded project ARGON at TU Delft. You will work in the Delft Center for Systems and Control (DCSC) on optimization-based, data-driven control for large-scale multi-agent systems.

You will conduct theoretical and computational research on dynamic game theory, building on distributed optimization and convex-monotone game theory to address energy, mobility, and

Qualifications

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

Responsibilities

• Analyze the complexity of distributed game equilibrium problems.
• Develop data-driven decomposition methods for structured game equilibrium problems.
• Develop data-driven, fast and scalable computational methods for game equilibrium problems.
• Develop an open-source toolbox for dynamic game equilibrium problems.

Skills

Systems and Control

Optimization

Game Theory

Strong English

Education

MSc in Systems and Control

Near completion MSc

Applied Mathematics

Job description

1000scholars is seeking a PhD candidate to develop distributed computational methods for data-driven game-theoretic control within the ERC-funded project ARGON at TU Delft. You will work in the Delft Center for Systems and Control (DCSC) on optimization-based, data-driven control for large-scale multi-agent systems.

You will conduct theoretical and computational research on dynamic game theory, building on distributed optimization and convex-monotone game theory to address energy, mobility, and