Postdoctoral researcher in optimization for robust railway timetables

expand and consolidate existing timetabling models to include constraints from limited resources; and complex dynamics resulting from variable choices. expand scope of scheduling models to tackle multi objective problems, and non-scalar objective functions (like probability of delays). study local and systemic impacts of timetables when exposed to expected or speculative delay dynamics.

ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.

• Doctoral Degree in transport sciences, management/ decision sciences, applied mathematics, econometrics, statistics, computer science, physics or related fields.

• Research track is consistent and shows a track record, or clear potential, for analysing, modelling, control, and optimisation of transport systems.

• Highly motivated and self-driven, with a clear research vision, academic ambition, and excellent communication and writing skills (fluent spoken and written English is mandatory).

• Computer science and ability to program independently complex software.

• Ability to model and work 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 similar languages is not required but is a plus.