The Chair of Infrastructure Management, led by Professor Dr. Bryan T. Adey at the Institute of Construction and Infrastructure Management (IBI) within the Department of Civil, Environmental and Geomatic Engineering (D-BAUG), has an opening for a researcher focused on data and process analysis to enable digitalized railway operations.
Safe and efficient railway systems traditionally rely on centralized control and human-in-the-loop monitoring of their moving parts. However, this requires substantial resources for network operation. Operators responsible for implementing system developments based on innovative technologies must comply with safety requirements for scalable and well-documented solutions to gain regulatory approval. This involves managing approximately 50-80 interconnected documents for the development of a new system, depending on the technology's complexity. Over the long-duration development process, adjustments may be necessary, leading to changes in interdependent documentation to ensure ongoing compliance with safety requirements. These changes can trigger cascading effects throughout the entire project, potentially increasing costs and delaying development, ultimately hindering innovation within the railway system.
A new ETH project, “ProCargo”, co-funded by the Swiss Federal Railways via the ETH Mobility Initiative, aims to enhance processes for rail system development to unlock efficiency gains, particularly in the cargo sector. The optimal exploitation of digital tools in system development processes facilitates effective and efficient outcomes. By leveraging digital tools, such as large language models, we can learn from existing documentation, assist system developers, and propose enhancements. This approach will support digital planners in effectively managing interdependencies and ensuring document coherence while maintaining a safe railway system. The ultimate beneficiaries will be system developers, who will experience a more streamlined development process, and society, which will benefit from the timely implementation of safe system developments.
The successful candidate will work closely with another researcher and the Development Systems Engineering team at SBB Cargo. Depending on the candidate's interests and available funding, this may evolve into a doctoral position.
The ideal candidate will hold a Master’s degree in Mechanical Engineering, Civil Engineering, or a related field, with an interest in data and process analysis and an enthusiasm for rail system development. A solid understanding of existing system development processes and a passion for learning about artificial intelligence tools, such as large language models, are beneficial. While English is the primary working language, proficiency in German would be an asset. Strong communication and presentation skills are highly valued.
ETH Zurich is one of the world’s leading universities specializing in science and technology. Renowned for its excellent education, cutting-edge fundamental research, and direct transfer of new knowledge into society, ETH draws over 30,000 people from more than 120 countries to a place that fosters independent thinking and inspires excellence. Located in the heart of Europe, ETH Zurich forges connections worldwide, working together to develop solutions for today’s and tomorrow's global challenges.
Apply online using the form below. Only applications matching the job profile will be considered.
For further information about the position, please contact Ms. Natalie Dietrich via email at dietrich@ibi.baug.ethz.ch (no applications). Visit our website for more details: www.ibi.baug.ethz.ch.
Screening of applications starts on 21 August 2025 and will continue until the position is filled. The preferred starting date is 01 October 2025, although other dates may be considered.
Location : Zürich ETH-Hönggerberg
Country : Switzerland