The Chair of Infrastructure Management, led by Professor Dr. Bryan T. Adey at the Institute of Construction and Infrastructure Management (IBI) in the Department of Civil, Environmental and Geomatic Engineering (D-BAUG), has an exciting opportunity for a researcher focused on data and process analysis aimed at enhancing digitalized railway operations.
Safe and efficient railway systems traditionally rely on centralized control and human-in-the-loop monitoring. However, these methods require significant resources for network operations. Operators are tasked with implementing system developments based on innovative technologies to improve operational efficiency while ensuring compliance with safety requirements. This involves managing approximately 50-80 interconnected documents for the development of new systems, depending on the technology's complexity. During long-duration development processes, adjustments may need to be made, which can cascade and impact the entire project, leading to increased costs and delayed innovation.
A new ETH project, "ProCargo," co-funded by the Swiss Federal Railways via the ETH Mobility Initiative, seeks to improve processes in rail system development to unlock efficiency gains, particularly within the cargo sector. By leveraging digital tools in system development processes, we aim to enhance effectiveness and efficiency. Digital tools, such as large language models, can be utilized to learn from system developers’ documentation, assist in modifications, and help digital planners maintain an overview of interdependencies among documents, thereby ensuring a safe rail system. This initiative will streamline the development process and benefit society by facilitating the earlier implementation of safe systems.
The successful candidate will collaborate closely with another researcher and the Development Systems Engineering team at SBB Cargo. This role may evolve into a doctoral position depending on the applicant's interests and available funding opportunities.
We are looking for candidates who 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 railway systems development. A good understanding of existing system development processes and enthusiasm for learning about artificial intelligence tools, such as large language models, is advantageous. While the primary working language is English, proficiency in German would be beneficial. Strong communication and presentation skills are highly valued.
ETH Zurich ranks among the world’s leading universities specializing in science and technology. Renowned for its excellent education and cutting-edge fundamental research, ETH promotes the transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university an inspiring environment for independent thinking and excellence. Situated in the heart of Europe, we collaborate globally to develop solutions for the challenges of today and tomorrow.
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 (please note that applications will not be accepted via email) and visit our website at www.ibi.baug.ethz.ch.
We look forward to receiving your application before the 20th of August 2025. The screening of applications will commence on the 21st of August 2025, and applications will be accepted until the position is filled.
Starting Date: The preferred start date is October 1, 2025, although alternative dates may be considered.
Location : Zürich ETH-Hönggerberg
Country : Switzerland