Doctoral Position in AI-Assisted Bridge Assessment for Special Road Transports — ETH Zürich
NewCHF 49'500 - 75'000
ETH Zürich · Zurich (ZH)
- Location
- Zurich
- Contract
- fixed-term
- Posted
- 2 days ago
SalaryCHF 49'500 - 75'000
Role overview
Doctoral Position in AI-Assisted Bridge Assessment for Special Road Transports 100%, Zurich, fixed-term print Drucken 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. Bickel), the ETH AI Center and Design++
- Doctoral Position in AI-Assisted Bridge Assessment for Special Road Transports 100%, Zurich, fixed-term print Drucken 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
Application process
- With direct practical relevance for Swiss infrastructure and the Swiss Federal Roads Office (ASTRA) as industry partner Project background The Swiss Federal Roads Office (ASTRA) processes more than 20,000 applications for special road transports every year — vehicles or vehicle combinations that exceed the legal limits.
- Roughly half of these applications require a structural assessment of the bridges along the route.
- Given the high number of applications and the diversity of transport configurations and bridge inventories that need to be considered, this manual assessment is correspondingly time-intensive.
- This research project explores how methods from Artificial Intelligence (AI) and automation can complement and further develop the structural assessment of existing bridges under heavy transportation loads.
- Starting from established engineering practice, we investigate:
- Which parametric models and which representations of the most common bridge types allow us to assess structural safety and serviceability efficiently for special road transports?
- How can simulation data and bridge inventory data be combined so that data-driven models remain mechanically consistent, reliable, and interpretable?
- How can the influence of recurring heavy transports on structural damage and therefore on the durability of the structure be meaningfully captured in such models? Job description
Additional details
- Doctoral Position in AI-Assisted Bridge Assessment for Special Road Transports 100%, Zurich, fixed-term print Drucken 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. Bickel), the ETH AI Center and Design++
- How can the influence of recurring heavy transports on structural damage and therefore on the durability of the structure be meaningfully captured in such models?
- A great working environment and a supportive group, according to former doctoral students chevron_right Working, teaching and research at ETH Zurich We value diversity and sustainability In line with our values , ETH Zurich encourages an inclusive culture. We promote equality of
Notes and original content
- Doctoral Position in AI-Assisted Bridge Assessment for Special Road Transports 100%, Zurich, fixed-term print Drucken 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.
- Bickel), the ETH AI Center and Design++
- Job description
- A great working environment and a supportive group, according to former doctoral students chevron_right Working, teaching and research at ETH Zurich We value diversity and sustainability In line with our values , ETH Zurich encourages an inclusive culture.
- We promote equality of
