Doctoral Position in Robust Railway Intervention Planning under Uncertainty

ETH Zurich seeks a researcher to develop uncertainty-aware optimization tools for robust railway intervention planning and resource forecasting in collaboration with SBB.

This role is embedded within the interdisciplinary ETH Mobility Initiative, conducted alongside SBB. The position aims to create quantitative support systems that enable fact-based decision-making for railway infrastructure management, specifically focusing on how to group or separate maintenance interventions under uncertain conditions.

Responsibilities

• Designing robust optimization techniques to decide the timing, location, and grouping of railway interventions.
• Analyzing and propagating uncertainties associated with planning interventions and forecasting resources.
• Embedding analytical results into a geospatial decision-support framework that adheres to ISO 55001 standards and UIC best practices.
• Validating the developed methods using historical and scheduled data from a pilot SBB corridor.

What the company offers

• The chance to work at a globally leading university focused on science and technology.
• A workplace culture that encourages independent thought and strives for excellence.
• An environment that respects the rights and dignity of all staff and students.

About the company

ETH Zurich is recognized for its high-quality education, groundbreaking fundamental research, and the direct application of new knowledge to society. The institution fosters an inclusive culture that promotes equality of opportunity and values diversity, while also committing to sustainability and a climate-neutral future.

• Renowned for excellent education and cutting-edge fundamental research.
• Encourages an inclusive culture and promotes equality of opportunity.
• Values diversity and sustainability, working towards a climate-neutral future.