Francesco Corman
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Doctoral researcher in optimization for robust railway timetables ETH Zürich in Switzerland
Degree Level
PhD
Field of study
Computer Science
Funding
Full funding availableDeadline
December 31, 2026Country
Switzerland
University
ETH Zürich

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About this position
This doctoral position at ETH Zürich focuses on optimization for robust railway timetables, aiming to improve the performance and capacity of Switzerland's public transport system. The project addresses the challenge of minimizing delays and their impacts through advanced timetable planning, using large-scale optimization techniques such as Mixed Integer Linear Programming (MILP) and Logic-Based Benders-Decomposition. Robustness against delays and disruptions is a key aspect, with the goal of developing timetables that quantitatively outperform traditional schedules under real-world conditions.
The research involves modeling how small delays and larger disruptions propagate through the railway network, and determining optimal buffer placements and running time reserves. The project is conducted in collaboration with an industry partner (railway infrastructure manager) and includes international cooperation with the Complex Systems group at Utrecht University. The scientific challenge is to integrate delay dynamics into existing timetabling models and identify schedules that are resilient to disruptions.
As a doctoral researcher, you will establish and use mathematical models for large-scale scheduling, considering constraints on vehicles, crew, and infrastructure. You will design and implement simulation-optimization frameworks to evaluate solutions, estimate their sensitivity to assumptions, and compare them to typical real-life responses. The position offers a dynamic research environment within a diverse group, active interaction with industrial and international partners, and access to ETH Zürich's extensive training programs and benefits.
Applicants should have or be about to receive a Master's degree in transport sciences, management/decision sciences, econometrics, mathematics, statistics, computer science, physics, or related fields. Essential skills include independent programming, algorithmic design, mathematical optimization, and strong communication abilities. Fluency in English is mandatory; knowledge of German is a plus but not required. The initial contract is for 18 months, with the possibility of extension following an aptitude colloquium. The total doctoral project is expected to last four years.
ETH Zürich is committed to diversity, sustainability, and equal opportunity. The university offers numerous benefits, including public transport season tickets, car sharing, sports facilities, childcare, and attractive pension plans. Applications must be submitted online via the ETH Zürich portal by 06 July 2026, including a motivation letter, CV with publications, diploma copies, and a reference letter. Shortlisted candidates will be invited for a personal interview. For further information, contact Prof. Dr. Francesco Corman at [email protected] (no applications via email).
ETH Zürich is a world-leading institution in science and technology, renowned for its excellent education, cutting-edge research, and commitment to sustainability. The university fosters an inclusive culture and provides an inspiring environment for independent thinking and academic excellence.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
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