PhD in Electronic-Structure ML for Materials Discovery

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.

Ready to Apply?

Submit your application today and join our talented team at PSI Laboratory for Energy Systems Analysis (LEA).