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4-year PhD Fellowship in Mathematical and Machine Learning Aspects in Crystallography at Durham University Durham University in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
Fixed-term 4-year PhD fellowship. The stipend covers the standard UK salary and all university/institutional fees, with additional budget for travel, conferences and equipment.
Deadline
Oct 7, 2026
Country
United Kingdom
University
Durham University
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About this position
Durham University is advertising a 4-year PhD fellowship in the research programme Deep Learning-Accelerated Crystallography Pipeline, based in the Department of Mathematical Sciences in the United Kingdom.
The project sits at the intersection of mathematics, machine learning, crystallography, and computer science. It is part of a Novo Nordisk Foundation-funded collaboration involving Durham University, the University of Copenhagen, and the MAX IV synchrotron. The successful candidate will work with an international team of mathematicians, crystallographers, and data scientists to develop theoretical and computational methods for small-molecule structure determination, refinement, and validation.
Research tasks include deriving the mathematical basis of the project, implementing results in code, completing PhD training, participating in seminars, disseminating results through workshops and conferences, and writing a PhD thesis. The post also mentions opportunities to interact with OlexSys.
Eligibility highlights: applicants should hold, or be on track to hold by the start date, a Master’s degree in Chemistry, Mathematics, or Computer Science. A strong background in quantum crystallography and its mathematical aspects is expected, together with adequate programming skills and a willingness to apply machine learning. Prior open-source scientific software experience is optional.
Funding: the fellowship is fixed-term for four years and includes a stipend covering the standard UK salary plus all university/institutional fees, with additional support for travel, conferences, and equipment.
Deadline: 7 October 2026, 23:59 BST. To apply, submit a single PDF containing a CV, cover letter, certified diploma and transcript (with English translation if needed), and referee details. Applications should be emailed to the two listed Durham contacts, and the job advert also links to the jobs.ac.uk application page.
Funding details
Fixed-term 4-year PhD fellowship. The stipend covers the standard UK salary and all university/institutional fees, with additional budget for travel, conferences and equipment.
What's required
Applicants should have a qualification equivalent to a Master’s degree in Chemistry, Mathematics or Computer Science by the start of the PhD. A strong background in quantum crystallography and its mathematical aspects is expected, along with adequate programming skills and willingness to apply machine learning where required. Previous experience contributing to open-source scientific software is optional.
How to apply
Prepare a single PDF with a CV, cover letter, certified Master’s diploma and transcript (with English translation if needed), and contact details for up to two referees. Email the application to [email protected] and [email protected] before the deadline.
More information can be found here
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