PhD Position Dynamic Game Theoretic Control for Constrained Systems

This PhD position at TU Delft focuses on dynamic game-theoretic control for constrained systems.

Job description

The candidate will conduct theoretical and computational research on game theory and multi-agent optimization for complex systems. The research will develop and build upon tools from distributionally robust optimization, convex-monotone game theory and data-driven optimal transport.

Potential application areas include distributed power systems, multi-vehicle automated driving and human-machine collaboration.

The position is in the context of the research project “Data driven Game theoretic Control for Constrained Systems” (ARGON), funded by the European Research Council (ERC).

Teaching activities are part of your PhD trajectory and may include, for example:

• supervising workgroups or lab sessions
• assisting in courses
• mentoring BSc and MSc students

While teaching will not be your main responsibility, it offers valuable experience that supports your development and prepares you for future academic or professional roles. Teaching activities will not exceed 20% of your total appointment, averaged over the course of your PhD.

Job requirements

TU Delft is looking for 1 talented, outstanding PhD researcher with an MSc degree (or close to completion) in Systems and Control, or Electrical/Mechanical Engineering, or Applied Mathematics, or a related field, with background and/or interest in Systems and Control, Optimization, Game Theory, and with good command of the English language (knowledge of Dutch is not required).

TU Delft (Delft University of Technology)

Delft University of Technology is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society.

Faculty Mechanical Engineering

Research and education at the ME faculty focusses on fundamental understanding, design, production including application and product improvement, materials, processes and (mechanical) systems.

ME is a dynamic and innovative faculty with high-tech lab facilities and international reach. It’s a large faculty but also versatile, so we can often make unique connections by combining different disciplines. This is reflected in ME’s outstanding, state-of-the-art education, which trains students to become responsible and socially engaged engineers and scientists.

Conditions of employment

Doctoral candidates will be offered a 4-year period of employment in principle, but in the form of 2 employment contracts. An initial 1.5 year contract with an official go/no go progress assessment within 15 months, followed by an additional contract for the remaining 2.5 years assuming everything goes well and performance requirements are met.

As a PhD candidate you will be enrolled in the TU Delft Graduate School. The TU Delft Graduate School provides an inspiring research environment with an excellent team of supervisors, academic staff and a mentor. The Doctoral Education Programme is aimed at developing your transferable, discipline-related and research skills.

The TU Delft offers a customisable compensation package, discounts on health insurance, and a monthly work costs contribution. Flexible work schedules can be arranged.

As part of knowledge security, TU Delft conducts a risk assessment during the recruitment of personnel. This is done, among other things, to prevent the unwanted transfer of sensitive knowledge and technology. The assessment is based on information provided by the candidates themselves, such as their motivation letter and CV, and takes place at the final stages of the selection process. When the outcome of the assessment is negative, the candidate will be informed. The processing of personal data in the context of the risk assessment is carried out on the legal basis of the GDPR: performing a public task in the public interest.