PhD Student

Used nuclear fuel characterization with ML components

Your tasks

  • PhD project on qualification of used nuclear fuel characterization methods including surrogate modelling with ML tools
  • Analysis of the quantities of interest (decay heat, nuclide concentrations, etc.) for short cooling times
  • Associated verification and validation studies
  • Uncertainties quantification with appropriate propagation and data assimilation methods
  • Support teaching activities generally at the institution of the thesis advisor and/or perform specific maintenance tasks

Your profile

  • Higher education in nuclear engineering, mathematics or data science
  • Programming and scripting skills, specifically under Linux / Unix environment
  • Experience in machine learning models application
  • Good background in statistics
  • Good knowledge of English

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. 

For further information, please contact Dr Alexander Vasiliev, phone +41 56 310 27 02.

Please submit your application online by 1 May 2024 (including addresses of referees) for the position as a PhD Student (index no. 4102-00).

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