Fully Funded PhD in Electronic-Structure Machine Learning for Materials Science at Paul Scherrer Institute Paul Scherrer Institute in United Kingdom

Fully funded PhD opportunity in Switzerland at the Paul Scherrer Institute (PSI) for research in Materials Science, Machine Learning for Materials, Electronic Structure Modeling, Computational Materials Engineering, and Quantum Simulations.

The position is titled PhD Student in Electronic-Structure Machine Learning for Materials and focuses on developing machine-learning models to predict and understand electronic properties of materials. The research is highly interdisciplinary and connects AI methods with next-generation materials discovery, including applications relevant to batteries, semiconductors, quantum materials, and sustainable technologies.

Institution: Paul Scherrer Institute, Switzerland.

Funding: Fully funded PhD. The source listing also mentions a salary range of CHF 125,000 - CHF 150,000 and access to advanced infrastructure, including high-performance computing and major scientific facilities.

Eligibility highlights: A Master's degree in a related field is required. Preferred backgrounds include Metallurgy & Materials Engineering, Materials Science, Physics, Computational Engineering, Data Science for Materials, and Chemistry. Experience with density functional theory (DFT), machine learning, and Python is indicated in the source listing.

Deadline: 21 June 2026.

How to apply: Use the official source/application link and submit the requested CV and cover letter before the deadline.

This is a strong fit for students interested in AI for materials science, electronic structure, quantum materials, and computational discovery workflows.