Postdoctoral Research Assistant in Computerised Tomography Image Analysis

Location: John Radcliffe Hospital and Old Road Campus Research Building

Contract type: Fixed term for 12 months

Hours: Full-time

About the role

We are seeking a Full-Time Postdoctoral Researcher in Computer Vision CT image analysis to join the Nuffield Department of Surgical Sciences (John Radcliffe Hospital, Headington, Oxford), working in close collaboration with the Biomedical Image Analysis group. (Biomedical Institute of Biomedical Engineering, Old Road Campus Building, Headington, Oxford). The post is funded by the Horizon Europe program for 12 Months.

You will be based in Nuffield Department of Surgical Sciences, John Radcliffe Hospital as your normal place of work; but you may be able to agree a pattern of regular remote working with your line manager.

This is a unique opportunity to develop your career in the intersection of: Healthcare, Academia and Industry. Your research will translate to real world impact that improves patient journeys, healthcare system efficiency and environmental sustainability.

Your scientific research will focus on the development of machine/deep learning-based medical image analysis methods for computerised tomography scans (CT scans). Key applications of such ML/DL methods are illustrated by our prior research (PMIDs 33913675, 33234786, 33630463, 35286501, each IP represented by a patent filing) where we showed the potential for such applications to be ‘platform technologies’. We will next iteratively refine the clinical applications in different anatomical regions and in different pathological contexts. A key focus will be further refining the method of ‘Digital contrast synthesis. You are strongly encouraged to read these prior publications prior to the panel interview.  

In addition to further excelling your skills in Computer Vision/Big Data/Machine Learning analyses, this opportunity enables you to:

• - Work closely with clinicians and academic researchers in multiple countries across different continents.
• - Interact with industry collaborators in different sectors of healthcare AI and gain interdisciplinary insights.
• - Enriched support for research grant applications, including research fellowships 

About you

You should possess a relevant PhD/DPhil (or be near completion), as well as relevant experience in the area.  You should also have previous experience of contributing to publications/presentations and the ability and enthusiasm to deliver results in interdisciplinary research.  Excellent communication skills, including the ability to write for publication, present research proposals and results, and represent the research group at meetings are also essential. Experience in the analysis of CT images, particularly in the context of translational projects would be beneficial.

Application Process

Informal enquiries may be addressed to Prof Regent Lee (regent.lee@nds.ox.ac.uk) or Prof Vicente Grau (vicente.grau@eng.ox.ac.uk).  

Applications for this vacancy are to be made online. You will be required to upload a supporting statement, setting out how you meet the selection criteria, curriculum vitae and the names and contact details of two referees as part of your online application. Please quote reference NDSA989 on all correspondence. 

Only applications received before noon Wednesday 12^th August 2026 can be considered.

Interviews will be held on Wednesday 26^th August 2026. 

Committed to equality and valuing diversity

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