20 beste Stellen als python in dintikon ag – aktuell auf Personalsuche

PhD research on the development of advanced closure models for droplet breakup on wet and dry spacer grids of pressurised water reactors
Development, implementation, testing and validation of a mechanistic droplet breakup model for wet spacer grids
Development of physics-based correlations for droplet size distributions in PWR fuel assemblies during reflood
Implementation and testing of droplet behaviour models in the US-NRC’s system thermal-hydraulics code TRACE
Sensitivity and uncertainty analysis of the newly implemented models
Preparation of technical reports and publication of scientific results at international conferences and in peer-reviewed journals
Participation in teaching activities in coordination with thesis advisor

Your profile

Master’s degree or equivalent in nuclear or mechanical engineering, physics and/or applied mathematics
Solid background in nuclear engineering, including in particular two-phase thermal hydraulics
Experience using system and/or subchannel thermal-hydraulics code and CFD simulation codes, ideally the systems code TRACE
Programming experience in FORTRAN and scripting languages such as Python
Familiarity with uncertainty quantification and sensitivity analysis methodologies (e.g., BEPU, CSAU) is an asset
Fluent spoken and written English, proficiency in German is beneficial

We offer

Our institution is based on an interdisciplinary, innovative and dynamic collaboration. You will profit from 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 Omar Al-Yahia, phone +41 56 310 27 84.

Please submit your application online by 30 June 2026 (including list of publications and addresses of referees) for the position as a PhD Student (Index-Nr. 4103-27812).

Paul Scherrer Institute, Human Resources Management, Mariusz Prus, 5232 Villigen PSI, Switzerland

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