100%, Zurich, fixed-term
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, such systems demand considerable resources for network operation. Operators responsible for implementing system developments based on innovative technologies must adhere to safety requirements for scalable and well-documented solutions to acquire regulatory approval. This process involves navigating approximately 50-80 interconnected documents for the development of a new system, depending on the complexity of the technology.
Over the long-duration development process, adjustments to solutions may be necessary, leading to corresponding changes in interdependent documentation to ensure ongoing compliance with safety requirements. Such changes can trigger cascading effects throughout entire projects, potentially increasing costs and delaying development—the very factors that slow down innovation within the railway system.
The new ETH project, ProCargo, co-funded by the Swiss Federal Railways via the ETH Mobility Initiative, aims to assess the potential for improving processes in rail system development, particularly in the cargo sector. Optimal use of digital tools can facilitate effective and efficient system development processes. By leveraging technologies such as large language models, we can learn from existing system developers' documentation, assist developers, and propose modifications to enhance the overall development process. This approach will support digital planners in managing interdependencies and ensuring coherence between documentation while maintaining a safe rail system, benefiting not only the developers but society as a whole through earlier implementation of safe system developments.
The successful candidate will be responsible for:
The candidate will collaborate closely with another researcher and the Development Systems Engineering team at SBB Cargo. Depending on the candidate's interests and available funding, this position may evolve into a doctoral opportunity.
The ideal candidate will possess a Master’s degree in Mechanical Engineering, Civil Engineering, or a related field, with a keen interest in data and process analysis as well as rail system development. A solid understanding of existing system development processes and a eagerness to explore artificial intelligence tools, like large language models, would be advantageous. Proficiency in English is essential, and knowledge of German would be beneficial. Strong communication and presentation skills are highly valued.
ETH Zurich is one of the world’s leading universities specializing in science and technology. Our reputation is built on excellent education, cutting-edge fundamental research, and the direct application of new knowledge to society. We are home to over 30,000 individuals from more than 120 countries, fostering an environment that encourages independent thinking and inspires excellence. Located in the heart of Europe while maintaining global connections, we work collaboratively to develop solutions for the pressing challenges of today and tomorrow.
In alignment with our values, ETH Zurich promotes an inclusive culture. We encourage equality of opportunity, value diversity, and nurture a working and learning environment that respects the rights and dignity of all our staff and students.
We invite you to apply online using the form below. Only applications matching the job profile will be considered.
The application deadline is **August 31, 2025**, and we encourage you to submit your documentation promptly. For any further inquiries about the position, please contact Ms. Natalie Dietrich via email: dietrich@ibi.baug.ethz.ch (no applications). Screening of applications will commence on **September 1, 2025**, and applications will be accepted until the position is filled.
The preferred starting date for this position is **October 1, 2025**, although alternative arrangements may be possible.
ETH Zurich is a premier institution renowned for its excellence in education and research. We strive to cultivate independent thought and uphold an inspiring environment that fosters innovation and excellence, while we endeavor to address global challenges collaboratively.
Location : Zürich
Country : Switzerland