Doctoral Position in AI-Assisted Bridge Assessment for Special Road Transports

Independent research exploring how methods from AI and automation can complement and further develop the structural assessment of existing bridges under heavy transportation loads Regular exchange with the industry partner ASTRA (Swiss Federal Roads Office) to ensure practical relevance Scientific writing of a doctoral thesis as well as peer-reviewed journal and conference publications, with the opportunity to attend leading international conferences in the field Support of teaching activities at the Chair & co-supervision of Bachelor's and Master's theses within the thematic scope of the position Completion of 12 course credits in the research field as part of the doctoral programme

This project combines classical structural analysis with modern data-based and computational methods (AI & FEM) to advance the structural assessment of bridges under special road transports. A fully funded doctoral position at the Chair of Structural Engineering - Concrete Structures and Bridge Design (Prof. Walter Kaufmann), ETH Zurich In collaboration with the Computational Design Lab (Prof. B. Bickel), the ETH AI Center and Design++ With direct practical relevance for Swiss infrastructure and the Swiss Federal Roads Office (ASTRA) as industry partner

• You enjoy working at the intersection of classical structural engineering and modern data- and computer-aided methods

• You hold a Master's degree in Civil Engineering, preferably with a specialisation in Structural Engineering

• Ideally you also have experience in scripting (Python) and AI/ Machine Learning / Data Science

• You work independently and with high initiative

• You communicate your work clearly in English, both in writing and in exchange with academic and industry partners (German is a plus)