PhD Position in Optimizing Multi-actor Transport and Logistics Systems
Develop advanced mathematical models and scalable optimization algorithms for multi-actor logistics systems at the intersection of game theory and operations research.
Best for:Best for candidates with a strong background in mathematical optimization, mixed-integer programming, and an interest in game-theoretic modeling.
Overview
This PhD position at Delft University of Technology focuses on developing novel methodologies to address complex decision-making problems in transport and logistics. The research explores the intersection of game theory and mixed-integer optimization to model systems where multiple actors with conflicting objectives interact. The successful candidate will design scalable algorithms for large-scale problem instances, utilizing techniques such as column generation and Benders decomposition. The role is based within the Transport and Logistics section of the Department of Engineering Systems and Services, offering an interdisciplinary research environment.
What you'll do
- Develop innovative game-theoretic and optimization models for multi-actor decision problems.
- Design and implement scalable solution methods for large-scale optimization challenges.
- Contribute to high-quality scientific publications in leading operations research and logistics journals.
- Communicate complex research findings effectively to an interdisciplinary audience.
- Participate in the TU Delft Graduate School doctoral education programme.
Requirements
Degree required: MSc in operations research, econometrics, applied mathematics, computer science, industrial engineering, systems and control, or a closely related discipline.
Degree offered: PhD
Language: English; proficiency required for communication, coursework, and thesis writing.
Instruction: English
- Strong background and demonstrated experience in mathematical optimization, specifically mixed-integer programming.
- Excellent programming skills in languages such as Python, Julia, Java, or C++.
- Practical experience with optimization solvers.
- Strong academic writing and communication skills in English.
- Ability to work effectively in an interdisciplinary and international research environment.
- Must hold an MSc degree in a relevant field.
- Must pass a knowledge security risk assessment as part of the final selection process.
Funding & terms
How to apply
Deadline: 2026-11-22
Interested candidates should apply via the official online application portal. Please submit a CV and a motivational letter by the specified deadline.
- CV
- Motivational letter
Contact
Patrick Stokkink
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