Senior Postdoctoral Researcher in Statistical Machine Learning and Deep Generative Modelling

Location:  Old Road Campus, Headington, Oxford, OX3 7LF Additional location: Department of Statistics, 24-29 St Giles’, Oxford, OX1 3LB

Salary: Research Grade 8: Salary in range £49,119 - £50,552 per annum. This is inclusive of a pensionable Oxford University Weighting of £1,730 per year.

We are seeking to appoint a Senior Postdoctoral Researcher in Statistical Machine Learning and Deep Generative Modelling to apply and develop cutting-edge deep generative probabilistic models including conditional diffusion and flow matching models for synthesising Magnetic Resonance Imaging (MRI) and predictive analysis for Novartis Oxford collaboration for AI in medicine. The collaboration focuses on improving our understanding of multiple sclerosis disease progression and how treatment can impact progression. 

This work will focus on the unique Novartis Oxford MS (NO.MS) dataset, the largest and most comprehensive dataset on multiple sclerosis (MS), encompassing longitudinal data from over 40,000 individuals, some tracked for more than a decade.

You will be responsible for advancing and applying state-of-the-art probabilistic deep generative models, including conditional diffusion and flow matching approaches, to generate advanced MRI modalities from conventional clinical scans. You will also develop predictive models capable of characterising disease progression and forecasting individual outcomes in multiple sclerosis under different treatment exposures. You will contribute to delivery of collaborative projects, working closely with clinicians, imaging experts, and computational scientists across the Oxford–Novartis Collaboration for AI in Medicine.

You must hold a PhD/DPhil in Statistics, Statistical Machine Learning, Deep Generative Modelling, or a closely related field, together with relevant postdoctoral research experience. You will bring extensive expertise in the development and application of conditional diffusion models, flow matching techniques, or related generative approaches, as well as experience working with probabilistic (Bayesian) methods and statistical modelling. Strong writing and programming skills are essential. A proven record of publishing in high-quality journals and presenting at scientific meetings will be required, demonstrating your ability to lead and deliver impactful research.

Applications for this vacancy should be made online via the above ‘Apply’ button and you will need to upload a supporting statement and CV. Your supporting statement must explain how you meet each of the selection criteria for the post using examples of your skills and experience. Please restrict your documentation to your CV and supporting statement only. Any other documents will be requested at a later date.  

This position is offered full time on a fixed term contract until 31 August 2027 and is funded by Novartis.

Only applications received before 12 mid-day on Monday, 27 October 2025 will be considered. Please quote 182346 on all correspondence.

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