The PSI Laboratory for Energy Systems Analysis (LEA) in Villigen, Switzerland, is seeking a highly motivated PhD Student in Electronic-Structure Machine Learning for Materials. This position involves contributing to the development of advanced simulation methods and working collaboratively in an interdisciplinary environment.

The ideal candidate will have a Master's degree (or nearing completion) in a relevant field, hands-on experience with density functional theory (DFT), and proficiency in Python. The role offers systematic training, collaboration with leading research groups, and opportunities for publication.