PhD Position Optimizing Multi-actor Transport and Logistics Systems

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

PhD Position Optimizing Multi-actor Transport and Logistics Systems

Would you like to develop new theory and algorithms for problems with multiple interacting actors? Are you interested in working at the intersection of game theory and mixed-integer optimisation?

Transport and logistics systems consist of many players with potentially conflicting objectives that continuously strive to maximize their performance. The competition and collaboration between these players can influence their decision-making, which is something that traditional Mixed Integer Linear Programming (MILP) formulations with a single decision-maker cannot capture. The goal of this PhD is to develop novel methodologies at the intersection of operations research and game theory to address these problems. Applications can go beyond the transport and logistics domain.

Your research will focus on mathematical modelling and algorithm development for planning and operating multi-actor systems, taking into account that the actions of one actor influence the opportunities and performance of others. A central methodological component of the position is the development of scalable optimisation algorithms for large and computationally challenging problem instances. You will formulate mathematical programming models and design solution approaches based on techniques such as column generation, branch-and-price, and Benders decomposition.

You will be expected to:

• 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.

You will join the Transport and Logistics section of the Department of Engineering Systems and Services

Job requirements

• We are looking for a candidate who meets the following requirements:
• An MSc degree in operations research, econometrics, applied mathematics, computer science, industrial engineering, systems and control, or a closely related discipline.
• A strong background and demonstrated experience 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.
• An open and collaborative attitude and the ability to work effectively in an interdisciplinary and international research environment.
• Knowledge of game theory, bi-level optimization and decomposition-based solution algorithms are a plus.

TU Delft (Delft University of Technology)

Working at TU Delft means contributing to solutions that really make a difference.

For over 180 years, we have been training engineers who make an impact worldwide in companies, government bodies, or as entrepreneurs. Our alumni turn knowledge into concrete solutions for the challenges of today and tomorrow.These challenges are changing rapidly. That is why we focus on themes such as energy, climate, digitalisation, artificial intelligence (AI), and smart mobility every day. Our education and research are directly aligned with what society needs now and in the future.

At TU Delft, our people make the difference. With their knowledge and curiosity, our staff provide a high-quality education and conduct pioneering research that extends beyond the campus. You will have the opportunity to take the initiative, work with others, and grow as a professional.Working at TU Delft means join an international community of professionals and students. Together, we create knowledge, innovations, and solutions that help move the world forward.

Faculty Technology, Policy & Management

The Faculty of TPM provides an important contribution to solving complex technical-social issues, such as energy transition, mobility, digitalisation, water management and (cyber) security. TPM does this with its excellent education and research at the intersection of technology,societyand policy. We combine insights from both engineering and social sciences as well as the humanities. TPM develops robust models and designs, is internationally oriented and has an extensive network of knowledge institutions, companies, socialorganisationsand governments.

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.

Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities, increasing from€3204 - €4051 gross per month, from the first year to the fourth year based on a fulltime contract (38 hours), plus 8% holiday allowance and an end-of-year bonus of 8.3%.

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.

Will you need to relocate to the Netherlands for this job? TU Delft is committed to make your move as smooth as possible! The HR unit, Coming to Delft Service , offers information on their website to help you prepare your relocation. In addition, Coming to Delft Service organises events to help you settle in the Netherlands, and expand your (social) network in Delft. A Dual Career Programme is available, to support your accompanying partner with their job search in the Netherlands.

Additional information

If you would like more information about this vacancy or the selection procedure, please contact Patrick Stokkink via [e-mail] .

Doing a PhD at TU Delft requires English proficiency at a certain level to ensure that the candidate is able to communicate and interact well, participate in English-taught Doctoral Education courses, and write scientific articles and a final thesis. For more details please check the Graduate Schools Admission Requirements .Please note:

Faculty/Department: Faculty of Technology, Policy & Management

FTE: 40

Submission is possible until: 22 Nov 2026