PhD Position Data-Driven Distributed Game Theory

Delft University of Technology (TU Delft); Netherlands; On-site; EUR 30,000 - 42,000; Full time

Job summary

Delft University of Technology (TU Delft) invites applications for a PhD position focused on shaping intelligent control across future complex systems. This ERC-funded project develops game-theoretic control and optimization methods and builds distributed computational tools for large-scale multi-agent systems.

As part of the ARGON project, you will advance data-driven control methods that address uncertainty and inter-agent constraints, with applications in energy grids, autonomous mobility,

Job description

Delft University of Technology (TU Delft)

Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Control engineering Engineering » Systems engineering Researcher Profile First Stage Researcher (R1) Application Deadline 30 Oct 2026 - 22:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

Shape intelligent control and coordination in future complex systems, from sustainable energy grids to autonomous mobility. In this ERC-funded PhD project, you develop cutting-edge game-theoretic control and optimization methods.

Job description

Modern society depends on complex, interconnected systems such as sustainable power grids, autonomous vehicles and human-machine collaborative systems. Ensuring that these systems operate safely, efficiently and fairly is a major scientific and societal challenge. It requires fundamentally new approaches to control and optimization in environments where multiple agents interact under uncertainty and constraints.

In this PhD project at TU Delft, you will develop distributed computational methods for game-theoretic control and optimization to address these challenges. As part of the European Research Council (ERC)-funded project "Data-driven Game Theoretic Control for Constrained Systems" (ARGON), you will work at the forefront of fundamental research with high potential for technological impact.

You will conduct theoretical and computational research on dynamic game theory and multi-agent optimization for uncertain systems. By building on tools from distributed optimization, convex-monotone game theory, and hybrid systems, you will develop new computational frameworks for data-driven game-theoretic control in large‑scale multi‑agent systems. These methods will contribute to applications such as multi‑actor power grids, multi‑vehicle automated driving and human‑machine collaboration, enabling safer, more efficient and more sustainable operations.

Your responsibilities

As a PhD researcher,