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    PhD Student in Probabilistic Modelling of Severe Nuclear Accident Risk 100%

    Paul Scherrer Institut

    Paul Scherrer Institut, CH-5303 Würenlingen

    Grossunternehmen

    2000 Angestellte (Schweiz)
    0 Angestellte (global)

    Temporaneo: Si Carico di lavoro: 100%
    CH-5303 Würenlingen Lingua:en

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    The Paul Scherrer Institute PSI is the largest research institute for natural and engineering sciences within
    Switzerland. We perform cutting-edge research in the fields of future technologies, energy and climate, health
    innovation and fundamentals of nature. By performing fundamental and applied research, we work on sustainable solutions
    for major challenges facing society, science and economy. PSI is committed to the training of future generations.
    Therefore, about one quarter of our staff are post-docs, post-graduates or apprentices. Altogether, PSI employs 2300
    people.
    In this doctoral research project, the Risk and Human Reliability RHR group in the Laboratory for Energy Systems
    Analysis and the Severe ACcident REsearch SACRE group in the Laboratory for Reactor Physics and Thermal-Hydraulics are
    developing graphical, probabilistic models (Bayesian Networks) to represent and analyse severe accident uncertainties
    in nuclear power plants. In particular, we are exploring their use as surrogates for accident simulation codes in the
    frame of the Probabilistic Safety Assessment PSA of severe accident risks. In this context, we are looking for a

    PhD Student in Probabilistic Modelling of Severe Nuclear Accident Risk

    Your tasks

    - 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 luca.podofillini@psi.ch, phone +41 56 310 53 56 or
    Dr Mateusz Malicki, e-mail mateusz.malicki@psi.ch, 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, Switzerlandwww.psi.chApply now

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