Doctoral Position in AI-Assisted Bridge Assessment for Special Road Transports — ETH Zürich
CHF 73'500 - 111'500
ETH Zürich · Zurich (ZH)
- Location
- Zurich
- Contract
- fixed-term
- Posted
- 47 days ago
SalaryCHF 73'500 - 111'500
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
- Doctoral Position in AI-Assisted Bridge Assessment for Special Road Transports
- 100%, Zurich, fixed-term print Drucken
Application process
- 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
- 100%, Zurich, fixed-term
- 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++
- With direct practical relevance for Swiss infrastructure and the Swiss Federal Roads Office (ASTRA) as industry partner Project background
- 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?
- Completion of 12 course credits in the research field as part of the doctoral programme
- You communicate your work clearly in English, both in writing and in exchange with academic and industry partners (German is a plus)
- A great working environment and a supportive group, according to former doctoral students
- Working, teaching and research at ETH Zurich We value diversity and sustainability
Notes and original content
- 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++
- With direct practical relevance for Swiss infrastructure and the Swiss Federal Roads Office (ASTRA) as industry partner
- Project background
- Job description
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