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Delft University of Technology

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Postdoc in Trustworthy Multi-Model Optimization for Railway Timetabling Delft University of Technology in Netherlands

Degree Level

Postdoc

Field of study

Computer Science

Funding

Postdoctoral position for 16 FTE months, with exact duration and working days per week negotiable. Salary and benefits follow the Collective Labour Agreement for Dutch Universities; salary range listed is €3706–€5760. The role is temporary and includes standard Dutch university benefits such as pension, leave, training opportunities, and partial parental leave.

Deadline

Oct 31, 2026

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Country

Netherlands

University

Delft University of Technology

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Keywords

Computer Science
Electrical Engineering
Mathematics
Operations Research
Industrial Engineering
Sustainable Transportation
Optimisation
Statistics
Decision Support System
ML

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About this position

ICAI Robust RAIL Lab at Delft University of Technology (TU Delft) is advertising a postdoctoral position in trustworthy multi-model optimization for railway timetabling. The project sits at the intersection of optimization, operations research, machine learning, and algorithmics, with a strong application focus on the Dutch railway network.

The research has two connected directions: (1) combining macroscopic capacity planning, mesoscopic scheduling, and microscopic simulation into a computationally tractable and trustworthy pipeline; and (2) timetabling and capacity allocation for a multi-operator railway, including fair, efficient, and strategy-proof allocation of scarce train paths. The post is embedded in a joint initiative involving TU Delft, Utrecht University, and NS/ProRail under the NWO LTP-ROBUST programme.

The position is hosted in the Algorithmics section and involves collaboration with Prof. Mathijs de Weerdt, ProRail, NS, and other lab researchers working on related railway topics such as hub planning, real-time rescheduling, crew rostering, and energy-efficient operation. The lab encourages the candidate to shape their own research agenda within this scope.

Eligibility highlights: a recently obtained PhD in optimization, operations research, machine learning, or a closely related field; strong mathematical and algorithmic skills; and interest in theory applied to a large real-world transport system. Conversational spoken Dutch is strongly preferred due to collaboration with Dutch Railways and ProRail.

Funding and conditions: 16 FTE months of postdoctoral employment, with exact duration and working days negotiable. Salary and benefits follow the Collective Labour Agreement for Dutch Universities, with a listed salary range of €3706–€5760. The role is temporary and includes standard university benefits such as pension, leave, training opportunities, and partial parental leave.

Application: apply online by 31 Oct 2026. Submit a CV that clearly shows relevant experience, Dutch language command, and mathematical/algorithmic background, plus a motivational letter explaining your interest in the group and the research interface. Applications sent by email or post will not be processed.

Funding details

Postdoctoral position for 16 FTE months, with exact duration and working days per week negotiable. Salary and benefits follow the Collective Labour Agreement for Dutch Universities; salary range listed is €3706–€5760. The role is temporary and includes standard Dutch university benefits such as pension, leave, training opportunities, and partial parental leave.

What's required

A recently obtained PhD in optimization, operations research, machine learning, or a closely related field is required. Applicants should have a strong mathematical and algorithmic background and a genuine interest in theory applied to a large real-world system for sustainable transport. Conversational spoken Dutch is strongly preferred because of collaboration with Dutch Railways and ProRail.

How to apply

Apply online no later than 31 Oct 2026 via the application button. Upload a CV highlighting relevant experience, Dutch language command, and mathematical/algorithmic background, plus a motivational letter. Do not send applications by email or post.

More information can be found here

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