PhD fellowship in Machine Learning for Crystallography

PhD fellowship in Machine Learning for Crystallography

We are offering a three‑year PhD fellowship in Machine Learning for Crystallography commencing 1 September 2026 or as soon as possible thereafter.

Project Description

This fellowship is part of the Novo Nordisk Foundation‑funded project ‘Deep Learning‑Accelerated Crystallography Pipeline’, a collaboration between the University of Copenhagen, Durham University, and the MAX IV synchrotron. You will work closely with an international team of crystallographers, mathematicians, and data scientists. The project seeks to transform small‑molecule structure determination by integrating machine learning algorithms into crystallographic workflows. The successful candidate will contribute to the development of computational tools that will enhance data collection, refinement and validation.

The work will involve simulation of diffraction data, training and testing machine learning models, and integrat...