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), is seeking a dedicated researcher focused on data and process analysis to enhance digitalized railway operations.
Safe and efficient railway systems traditionally rely on centralized control and human-in-the-loop monitoring. However, this approach requires significant resources for network operation. Operators are tasked with implementing system developments based on innovative technologies to improve operational efficiency. Adherence to safety requirements is essential for scalable and well-documented solutions that acquire regulatory approval. This process can involve approximately 50-80 interconnected documents, dependent on the complexity of the technology. Throughout the development process, adjustments and updates to these documents are often necessary, which may lead to cascading effects that can increase costs and delay projects, ultimately hindering 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 process improvements in rail system development, particularly within the cargo sector. The project seeks to leverage digital tools, such as large language models, to learn from system developers' documentation, assist them in their tasks, and propose constructive modifications. This approach will enable digital planners to gain insights into interdependencies, ensure document coherence, and maintain safety standards in railway operations, thereby benefiting system developers and society as a whole.
The ideal candidate will possess 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 the development of rail systems. Familiarity with existing system development processes and enthusiasm for artificial intelligence tools, such as large language models, is advantageous. Proficiency in English is required, while German language skills would be an asset. Strong communication and presentation skills are highly valued.
ETH Zurich is recognized as one of the world’s leading universities specializing in science and technology. We pride ourselves on providing exceptional education, conducting cutting-edge fundamental research, and directly transferring new knowledge into society. With more than 30,000 individuals from over 120 countries, our university fosters independent thinking and inspires excellence through collaboration 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 additional details regarding the position, please contact Ms. Natalie Dietrich via email at dietrich@ibi.baug.ethz.ch (no applications) and visit our website: www.ibi.baug.ethz.ch.
Screening of applications will begin on August 21, 2025. Applications will be accepted until the position is filled.
The preferred start date for this role is October 1, 2025, although alternative dates may be considered.
Location : Zürich ETH-Hönggerberg
Country : Switzerland