Job Description

Your tasks

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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 to investigate the model interpretability Perform uncertainty quantification to assess the reliability of predictions and robustness of ML/AI model Publish results in peer reviewed journals and present of work at conferences

Your profile

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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, or alternatively, a master's degree in data science, mathematics, computer science, informatics, or physics with a strong interest in geoscience applications You have experience with programming (e.g., Python, R, Matlab, C/C++,...) You have an active interest into data (e.g. images, categorical, numerical, geoscientific, subsurface data,...) and interpretation You have good communication and writing skills in English

We offer

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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 Romana Boiger, romana.boiger@psi.ch, phone +41 56 310 5373.

Please submit your application online by

18 January 2026

(including addresses of referees) for the position as a PhD Student (Index-Nr. 4403-25739).

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