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KU Leuven

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PhD in Safe and Efficient Coordination of Mixed Traffic with Automated Vehicles KU Leuven in Belgium

Degree Level

PhD

Field of study

Computer Science

Funding

Four-year fully funded doctoral research position at KU Leuven. The appointment includes 80% research on traffic modelling, control, and automated mobility and 20% educational tasks such as seminars, workshops, and thesis supervision. International conference travel and collaboration opportunities are mentioned.

Deadline

Oct 1, 2026

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Country

Belgium

University

KU Leuven

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Keywords

Computer Science
Mechanical Engineering
Electrical Engineering
Transportation Engineering
Mathematics
Mobile Technology
Civil Engineering
Monte Carlo Simulation
Optimisation
Traffic Flow Theory
Autonomous Vehicle

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About this position

PhD position at KU Leuven: Safe and efficient coordination of mixed traffic with automated vehicles.

This doctoral project is hosted by the Mobility and Industrial Management (MIM) research group at KU Leuven, an internationally recognised team working on intelligent transport systems, operations research, and transport system analysis.

The research focuses on automated mobility and the challenge of mixed traffic, where automated vehicles must interact safely and efficiently with human drivers, cyclists, and pedestrians. The project combines traffic modelling, data-driven analysis, and control design, with attention to both vehicle-level driving strategies and network-level impacts.

You will work on methods to make automated vehicles better “team players” in everyday traffic, using real-world data and connecting theory with practice. The project is linked to real mobility pilots, including the autonomous bus operating in Leuven, and involves collaboration with stakeholders such as public transport operators and insurers.

Eligibility highlights: a master’s degree with at least distinction in engineering, computer science, physics, applied mathematics, or a related field; strong quantitative and mathematical skills; programming ability (e.g. Python); and excellent English. Helpful background includes traffic flow theory, transport engineering, control systems, data analysis, optimisation, or simulation.

Funding: fully funded four-year PhD position at KU Leuven, with 80% research and 20% educational tasks. The role also offers opportunities to attend international conferences and collaborate with leading research partners.

Deadline: 1 October 2026, 23:59 CET. Apply via the online KU Leuven application tool.

Funding details

Four-year fully funded doctoral research position at KU Leuven. The appointment includes 80% research on traffic modelling, control, and automated mobility and 20% educational tasks such as seminars, workshops, and thesis supervision. International conference travel and collaboration opportunities are mentioned.

What's required

Applicants need a master’s degree with at least distinction in engineering, computer science, physics, applied mathematics, or a related field. Strong interest in quantitative and mathematical methods for real-world mobility problems is required, along with programming skills such as Python or similar and excellent written and spoken English. Preferred assets include background in traffic flow theory, transport engineering, or control systems, plus experience with data analysis, optimisation, or simulation and interest in automated/connected vehicles and mobility systems.

How to apply

Apply online through the KU Leuven application tool before 1 October 2026 at 23:59 CET. For questions about the position, contact Prof. dr. ir. Claudio Roncoli by email.

More information can be found here

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