Scientist

Scientist 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.

For many years the Laboratory for Waste Management has conducted multi-disciplinary research on safety and design of geological repositories for radioactive wastes, using a unique combination of experimental infrastructure and modelling capabilities. LES benefits strongly from on-site proximity to world-leading materials characterization facilities including the SLS synchrotron and SINQ neutron source, radiochemical laboratories and high performance computing facilities (HPC). Such studies have strong synergies with the field of environmental engineering, circular economy including carbon capture and sequestration, and long-term performance of natural and engineered cementitious and clay-based systems. The appointee will work closely with senior colleagues specialised in geochemical modelling of repository in-situ conditions and design optimisation. They will collaborate with European and global partners in the EURAD-II consortium (https://www.ejp-eurad.eu/), to conduct a world-class research program in development of high fidelity numerical simulations of repositories design using physics based coupling and advanced machine learning algorithm.

For our Geosphere Transport Group we are looking for a
Your tasks

• High fidelity numerical simulations of coupled Thermo-Hydro-Chemo-Mechanical (THMC) processes in repository nearfield, working towards the creation of a digital twin.
• Co-development of coupled codes and improvement of process coupling.
• Development of surrogate models using machine learning for the acceleration of numerical simulations to be used for design optimization, uncertainty and sensitivity analysis.
• Publishing the results in peer reviewed research papers, and presentations to showcase the work conducted.

Your profile
We are looking for an expert in numerical simulations of coupled process with previous experience in at least one of related field i.e. model development, machine learning, or use of HPC infrastructure. The candidate should have a fair understanding of repository geochemistry and THMC-process couplings. Proficient programming skills (e.g., python, C/C++, …) and experience with the use of ML-tools (e.g., Tensorflow or Pytorch…). The successful candidate will have a PhD or equivalent doctoral degree in Natural Sciences (Physics/Chemistry/GeoSciences/Engineering) or Applied Mathematics.
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.

This is a Fixed-Term position with a 2 years employment contract. Further extension is possible depending on performance and progress of the project.
For further information please contact Prof. Dr S. Churakov, phone +41 56 310 41 13 or Dr N. Prasianakis, +41 56 310 24 15.
Please submit your application online (including list of publications and addresses of referees) by 7 May 2025 for the position as a scientist (index no. 4403-00).
Paul Scherrer Institute, Human Resources Management, Luca Simen, 5232 Villigen PSI, Switzerland
www.psi.ch