PhD in Multi-Agent Transport Optimisation & Game Theory

Delft; Delft; Remote; EUR 36,000 - 45,000; Full time

Job summary

TU Delft invites applications for a PhD position focused on optimizing multi-actor transport and logistics systems. You will develop theory and algorithms that capture interactions among agents, using MILP and decomposition techniques, with emphasis on scalability and interdisciplinary relevance.

You will join the Transport and Logistics section of the Department of Engineering Systems and Services, contributing to publications and communicating results to a broad audience.

Qualifications

• MSc degree in operations research, econometrics, applied mathematics, computer science, industrial engineering, systems and control, or closely related field.
• Strong background in mathematical optimization, especially mixed-integer programming.
• Excellent programming skills (Python, Julia, Java, or C++) with experience in optimization solvers.
• Very good academic writing and English communication skills.
• Collaborative mindset and ability to work in interdisciplinary international research environments.
• Knowledge of game theory, bi-level optimization and decomposition-based methods is a plus.

Responsibilities

• Design scalable solution methods for large-scale optimization problems.
• Publish research findings in leading journals in OR, transportation and logistics.
• Communicate research results to interdisciplinary audiences.

Skills

Mathematical optimization

Mixed-integer programming

Python

Julia

C++

English writing

Interdisciplinary teamwork

Education

MSc in Operations Research / Applied Mathematics / CS / Industrial Engineering

Tools

Gurobi

CPLEX

Job description

TU Delft invites applications for a PhD position focused on optimizing multi-actor transport and logistics systems. You will develop theory and algorithms that capture interactions among agents, using MILP and decomposition techniques, with emphasis on scalability and interdisciplinary relevance.

You will join the Transport and Logistics section of the Department of Engineering Systems and Services, contributing to publications and communicating results to a broad audience.