PhD Student / PhD Student

Paul Scherrer Institut (PSI) - January 13, 2026

Your Tasks

  • Use Machine Learning models for automated analysis of core image data and geophysical data logs.
  • Apply explainable artificial intelligence (XAI) techniques to determine driving features of the ML models and investigate model interpretability.
  • Perform uncertainty quantification to assess the reliability of predictions and the robustness of ML/AI models.
  • Publish results in peer-reviewed journals and present your work at conferences.

Your Profile

  • You hold a master's degree in geosciences (such as geochemistry, geology, geophysics, or a related discipline) combined with a strong interest in artificial intelligence and data-driven modeling. Alternatively, you may have a master's degree in data science, mathematics, computer science, informatics, or physics with a keen interest in geoscience applications.
  • You possess programming experience (e.g., Python, R, Matlab, C/C++).
  • You demonstrate an active interest in data (e.g., images, categorical, numerical, geoscientific, subsurface data) and interpretation.
  • You have strong communication and writing skills in English.

We Offer

Our institution is founded on interdisciplinary, innovative, and dynamic collaboration. You will benefit from systematic on-the-job training, personal development opportunities, and a strong vocational training culture. If you wish to balance work with family life or other personal interests, we offer modern employment conditions and an excellent on-site infrastructure to support you.

For further information, please contact Dr. Romana Boiger at romana.boiger@psi.ch or call +41 56 310 5373.

Apply online using the form below. Please note that only applications matching the job profile will be considered.

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

Location : Villigen PSI
Country : Switzerland

Application Form

Please enter your information in the following form and attach your resume (CV)

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