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Design and implement the uncertainty analysis study for severe accidents in nuclear power plants (includes running sets of accident simulation codes such as MELCOR, MAAP)
Develop and evaluate different Bayesian Network models (from different structural learning and quantification algorithms) for surrogate modelling
Demonstrate the application of these models for two major use cases for nuclear Probabilistic Safety Assessment PSA: examining the impact of uncertainties on the PSA outcomes of interest for model validation and integrating uncertainty analysis findings in PSA models to optimize the structure of accident progression models and their success criteria

Your profile

Master’s degree in nuclear engineering or other engineering disciplines (e.g. mechanical, chemical) with knowledge of nuclear systems
Familiarity with several accident computational codes, especially MELCOR
Familiarity with computational programming (e.g. use of Python, R, Matlab)
Familiarity with machine learning techniques or causal discovery algorithms is ideal, but not a requirement
Very good knowledge of English is required, written and oral

We offer

Our institution is based on an interdisciplinary, innovative and dynamic collaboration. You will profit from a systematic training on the job, in addition to personal development possibilities and our pronounced vocational training culture. If you wish to optimally combine work and family life or other personal interests, we are able to support you with our modern employment conditions and the on-site infrastructure.

The work will be carried out at the Paul Scherrer Institute, in Villigen, Switzerland. The PhD degree will be awarded by the Swiss Federal Institute of Technology Zurich ETHZ.

For further information, please contact Dr Luca Podofillini, e-mail [email protected], phone +41 56 310 53 56 or Dr Mateusz Malicki, e-mail [email protected], phone +41 56 310 21 27.

Please submit your application online by 30 June 2026 including addresses of referees) for the position as a PhD Student in Probabilistic Modelling of Severe Nuclear Accident Risk (Index-Nr. 4103-28180).

Paul Scherrer Institute, Human Resources Management, Serdal Varol, 5232 Villigen PSI, Switzerland

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