PhD in Multi-Agent Optimization for Transport & Logistics

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

Benefits offered by this job

Relocation assistance

Customizable compensation package

Health insurance discounts

Flexible work schedules

Job summary

Delft University of Technology (TU Delft) seeks a PhD candidate to develop theory and algorithms for multi-actor transport and logistics problems at the intersection of game theory and mixed-integer optimisation.

Research focuses on mathematical modelling, scalable optimization, and solver methods such as column generation, branch-and-price, and Benders decomposition within the Transport and Logistics section of the Department of Engineering Systems and Services.

Qualifications

• MSc degree in operations research, econometrics, applied mathematics, computer science, industrial engineering, systems and control, or closely related discipline.
• Strong background in mathematical optimisation, in particular mixed-integer programming.
• Excellent programming skills (e.g., Python, Julia, Java, or C++) and experience with optimization solvers.
• Very good academic writing and communication skills in English.
• Open and collaborative attitude and ability to work interdisciplinarily.
• Knowledge of game theory, bi-level optimization and decomposition-based solution algorithms is a plus.

Responsibilities

• Develop new game-theoretic/optimization models for multi-actor decision problems.
• Design scalable solution methods for large-scale optimisation problems.
• Contribute to scientific publications in leading journals in operations research, transportation, and logistics.
• Communicate research findings to an interdisciplinary audience.

Skills

Mathematical optimisation

Programming skills

English proficiency

Interdisciplinary collaboration

Game theory knowledge

Education

MSc in operations research / applied mathematics / computer science

Tools

Python

Julia

C++

Job description

Delft University of Technology (TU Delft) seeks a PhD candidate to develop theory and algorithms for multi-actor transport and logistics problems at the intersection of game theory and mixed-integer optimisation.

Research focuses on mathematical modelling, scalable optimization, and solver methods such as column generation, branch-and-price, and Benders decomposition within the Transport and Logistics section of the Department of Engineering Systems and Services.