Publisher
source

ETH Zurich

Doctoral Position in Risk-Based Inspection and Maintenance Planning of Tunnels ETH Zurich in Switzerland

Degree Level

PhD

Field of study

Computer Science

Funding

Doctoral position at ETH Zurich within an SNSF-funded interdisciplinary project (PRISM-T). The post is a fixed-term PhD opening; no stipend amount or tuition details are stated.

Deadline

Nov 9, 2026

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Country

Switzerland

University

ETH Zurich

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Keywords

Computer Science
Mathematics
Decision Making
Civil Engineering
Industrial Engineering
Digital Twin Technology
Asset Management
Statistics

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About this position

Doctoral Position in Risk-Based Inspection and Maintenance Planning of Tunnels at ETH Zurich

This PhD opening is hosted by the Chair of Infrastructure Management led by Professor Dr. Bryan T. Adey at the Institute of Construction and Infrastructure Management, Department of Civil, Environmental and Geomatic Engineering, ETH Zurich. The project is part of the SNSF-funded interdisciplinary initiative PRISM-T and focuses on risk-based inspection and maintenance planning for tunnels.

The research topic combines civil engineering, probabilistic modelling, Bayesian networks, Value of Information analysis, decision analysis, and mathematical optimisation. The doctoral researcher will map and formalise tunnel maintenance decision processes, develop incremental risk updating methods, build computationally tractable VoI approaches, and formulate optimisation models for intervention programs under realistic tunnel constraints.

The project has a strong applied component. Regular field work is expected at the Hagerbach Test Gallery in Flums and the EuroTube Foundation in Dübendorf, with close collaboration with partners in Bolzano. Validation campaigns and work in underground environments are part of the role.

Eligibility highlights: a Master’s degree in civil engineering, operations research, industrial engineering, applied mathematics, or a related field; strong skills in probabilistic modelling, reliability and risk analysis, and optimisation; very good programming ability, preferably in Python; and good English. German is an advantage.

Funding: the position is a doctoral opening within an SNSF-funded project. No specific stipend amount is stated in the post.

Application deadline: 9 November 2026. Applications are accepted only via the ETH Zurich online portal and should include a letter of interest, CV, referee contacts, and academic transcripts/diplomas.

Funding details

Doctoral position at ETH Zurich within an SNSF-funded interdisciplinary project (PRISM-T). The post is a fixed-term PhD opening; no stipend amount or tuition details are stated.

What's required

Master’s degree in civil engineering, operations research, industrial engineering, applied mathematics, or a related field; strong background in probabilistic modelling, reliability and risk analysis, and mathematical optimisation; very good programming skills, preferably in Python, with experience using optimisation solvers; familiarity with infrastructure asset management, Bayesian networks, decision analysis, Value of Information analysis, or business process modelling is an advantage; willingness to carry out field work in underground environments and collaborate in an interdisciplinary international team; proficiency in written and spoken English required, German is an asset.

How to apply

Apply online through the ETH Zurich application portal by 9 November 2026. Submit a letter of interest, CV with publications if applicable and contact details of at least two referees, plus grades of all university courses and diplomas. Do not apply by email or post.

More information can be found here

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