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source

Pieter Vansteenwegen

Top university

7 months ago

PhD-student position: Optimizing Demand-Responsive Electric Mobility Systems Under Uncertainty KU Leuven in Belgium

Degree Level

PhD

Field of study

Computer Science

Funding

Available

Deadline

Expired

Country flag

Country

Belgium

University

KU Leuven

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Keywords

Computer Science
Machine Learning
Mathematics
Operations Research
Mathematical Modeling
Industrial Engineering
Electric Vehicle
Automatic Control
Optimisation
Public Transportation
Tranport Planning

About this position

The KU Leuven Institute for Mobility (LIM), in collaboration with the Luxembourg Institute of Socio-Economic Research (LISER), invites applications for three fully funded PhD positions focused on optimizing demand-responsive electric mobility systems under uncertainty. The research is situated at the intersection of operations research, decision making, automatic control, and distribution logistics, with a strong emphasis on practical applications in public transport and urban mobility.

The project aims to enhance the efficiency, coverage, and sustainability of suburban mobility systems by developing optimization-based strategies for on-demand services, integrated with innovative charging technologies. Candidates will contribute to the development of advanced mathematical frameworks and algorithms that address the operational challenges of electric mobility services, including real-time routing and charging, uncertain passenger demand, traffic congestion, and limited resources such as fleet size and charging infrastructure.

Research will be conducted within the MIM research group at KU Leuven, which has over 15 years of experience in applying operations research to public transport planning and supply chain operations, and the Urban Development and Mobility group at LISER, known for expertise in electrified public transport and urban mobility analytics. The project will provide opportunities for collaboration with international partners and other PhD students, as well as participation in conferences and educational activities.

Applicants should hold a master’s degree (with distinction) in engineering, business engineering, computer science, informatics, or applied mathematics, and demonstrate proficiency in English. Basic programming skills and a strong interest in quantitative or mathematical techniques are required. The positions are fully funded for four years, with enrollment at either KU Leuven (Arenberg Doctoral School) or the University of Luxembourg (Doctoral School in Sciences and Engineering), depending on the candidate’s preference. The preferred start date is October 1, 2026, but alternative dates can be discussed.

To apply, submit a motivation letter, transcripts of your master’s degree with grades in English, your CV, and indicate your skills in operations research, programming, and/or quantitative optimization, as well as your institutional preference. For further information, contact Prof. dr. ir. Pieter Vansteenwegen, Prof. dr. ir. Claudio Roncoli, or dr.ir. Tai-Yu Ma. KU Leuven is committed to diversity, inclusion, and equal opportunity in its academic environment.

Funding details

Available

What's required

Applicants must hold a master’s degree (with distinction at least) in engineering, business engineering, computer science, informatics, or applied mathematics. Candidates should have a strong interest in practical applications of quantitative or mathematical techniques and operations research. Basic programming skills are required. Proficiency in written and spoken English at a teaching level is mandatory. Applicants must submit a motivation letter, transcripts of their master’s degree with grades in English, a CV, and clearly indicate their skills in operations research, programming, and/or quantitative optimization. Preference for working at KU Leuven or LISER should be stated. English language requirements are detailed at https://set.kuleuven.be/phd/applicants/languagerequirements. Candidates graduating in June or September 2026 are eligible to apply.

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Professors

Prof. dr. ir. at KU Leuven

University Name
Country flag

Belgium

Research Interests

Transportation Engineering

Supply Chain Management

Traffic Management

Metaheuristic

Scheduling Theory

Prof. dr. ir. at KU Leuven

University Name
Country flag

Belgium

Research Interests

Transportation Engineering

Computer Science

Machine Learning

Mechanical Engineering

Tranport Planning