Doctoral researcher in optimization robust railway timetables

Doctoral Project:
Robust Railway Timetabling

In this PhD project you will develop mathematical models and simulation‑optimization tools to design timetables that minimise delay propagation and improve performance of the Swiss railway network.

• Establish and use mathematical models for large-scale timetabling scheduling, incorporating constraints on vehicles, crew and infrastructure, and optimizing buffer placement.
• Design and implement a simulation‑optimization framework to evaluate tentative solutions, considering estimated delay dynamics and possible rescheduling degrees, and to improve robustness against small and large delays.
• Quantitatively evaluate the effectiveness of the suggested decisions, estimate their sensitivity to assumptions and compare them with typical real‑world reactions.

Ideally, you have or will receive a Master’s degree in transport sciences, management/decision sciences, econometrics, mathematics, statistics, computer science, physics or related fields. Your research track should demonstrate a track record or clear potential for analysing, modelling, control and optimisation of transport systems. You are highly motivated, self‑driven and possess a clear research vision, academic ambition, and excellent communication and writing skills.

Fluency in spoken and written English is mandatory.

• Computer science background and ability to program complex software independently.
• Experience modelling and working with algorithmic design, existing software and data provided by industrial partners.
• Knowledge of mathematical optimisation (MILP, IP, LP) and/or control sciences.
• Team‑working and communication skills.
• Knowledge of German or a similar language is a plus.

• Dynamic research environment at ETH Zurich with international collaborators.
• Active interaction with industrial partners and the Complex Systems group at Utrecht University.
• Access to ETH’s extensive training program, public transport season tickets, car sharing, sports facilities, childcare and pension benefits.