The Chair of Infrastructure Management, led by Professor Dr. Bryan T. Adey at the Institute of Construction and Infrastructure Management (IBI), part of the Department of Civil, Environmental and Geomatic Engineering (D-BAUG), invites applications 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 approach requires substantial resources for network operation. Operators tasked with implementing system developments based on innovative technologies must comply with stringent safety requirements to acquire regulatory approval. The development of a new system involves careful consideration of approximately 50-80 interconnected documents, varying according to the complexity of the technology. Throughout the long development process, adjustments might be necessary, prompting changes to the interdependent documentation to ensure ongoing compliance with safety regulations. Such changes can lead to cascading effects, potentially increasing costs and delaying development while slowing down innovation within the railway system.
The new ETH project “ProCargo,” co-funded by the Swiss Federal Railways via the ETH Mobility Initiative, will explore enhancements in rail system development processes, particularly within the cargo sector. Optimizing the use of digital tools in these processes can lead to more effective and efficient outcomes. By leveraging digital tools, such as large language models, existing knowledge bases can be utilized to assist system developers and propose modifications that improve documentation coherence and interdependencies, ultimately supporting a safe rail system. This advancement is expected to facilitate a more streamlined development process and benefit society with the timely implementation of safe system innovations.
The successful candidate will collaborate closely with another researcher and the Development Systems Engineering team at SBB Cargo. Depending on the applicant's interests and availability of funding, this position has the potential to evolve into a doctoral role.
Applicants should hold a Master's degree in Mechanical Engineering, Civil Engineering, or a related field, with a strong interest in data and process analysis, as well as a keen enthusiasm for rail system development. Familiarity with existing system development processes and a willingness to learn about artificial intelligence tools, such as large language models, will be advantageous. While the primary working language is English, proficiency in German would be beneficial for the project. 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 our exceptional education, pioneering fundamental research, and the direct transfer of knowledge into society, our institution is home to over 30,000 individuals from more than 120 countries. We foster an environment that promotes independent thinking and inspires excellence. Situated in the heart of Europe, yet forging connections worldwide, we collaborate to develop solutions for today's and tomorrow's global challenges.
To become a part of our innovative team, apply online using the form below. Please note that only applications matching the job profile will be considered.
For further inquiries about the position, please contact Ms. Natalie Dietrich via email at dietrich@ibi.baug.ethz.ch (please, no applications) and visit our website at www.ibi.baug.ethz.ch.
Applications will be accepted until the position is filled, with screening starting on August 21, 2025. The preferred starting date is October 1, 2025, though other dates may be considered.
Location : Zürich ETH-Hönggerberg
Country : Switzerland