Doctoral Position in Risk-Based Inspection and Maintenance Planning of Tunnels
Conduct doctoral research on risk-based inspection and maintenance planning for tunnels using Bayesian networks and probabilistic modeling at ETH Zürich.
Best for:Best for civil or structural engineering graduates with strong probabilistic modeling and Python programming skills.
Overview
ETH Zürich invites applications for a doctoral position focused on risk-based inspection and maintenance planning for tunnel infrastructure. The successful candidate will work on advanced probabilistic methods, Bayesian networks, probabilistic updating, Value of Information analysis, and engineering optimization. The role involves developing quantitative frameworks for decision-making and potentially participating in fieldwork related to tunnel assessment. The candidate is expected to conduct rigorous academic research, contribute to project deliverables, and pursue a PhD degree.
What you'll do
- Develop probabilistic models and Bayesian networks for tunnel inspection and maintenance planning
- Implement Value of Information and optimization algorithms using Python
- Conduct literature reviews and state-of-the-art research in structural reliability and risk analysis
- Participate in field work and data collection related to tunnel infrastructure
- Publish research findings in peer-reviewed international journals and present at conferences
- Collaborate with academic and industry partners on project tasks
Requirements
Degree required: Master of Science or equivalent degree in Civil Engineering, Structural Engineering, or a related quantitative field
Degree offered: PhD
Language: English; professional proficiency
Instruction: English
- Strong proficiency in Python programming
- Solid background in probabilistic methods, statistics, or reliability analysis
- Knowledge of Bayesian networks or decision analysis
- Strong analytical and problem-solving abilities
- Fluency in written and spoken English
Funding & terms
How to apply
Prepare your application materials and submit them through the online portal or follow the specific application instructions provided by ETH Zürich.
- CV
- Cover letter
- Academic transcripts
- Reference letters
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