Paul Scherrer Institut (PSI) is seeking a PhD Student in Electronic-Structure Machine Learning for Materials to develop next-generation machine-learning models for electronic-structure theory. This role focuses on interdisciplinary collaboration and contributions to open-source software development.
The ideal candidate will have a Master's degree, hands-on experience with DFT, and programming skills in Python. This full-time position includes coursework at EPFL and opportunities for publication and conference presentations.
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