Postdoctoral Researcher in Computerised Tomography Image Analysis

Postdoctoral Researcher in Computerised Tomography Image Analysis

Nuffield Department of Surgical Sciences, John Radcliffe Hospital, Oxford, OX3 9DU

Grade 7: £39,424 - £47,779
per annum (including the Oxford University Weighting of £1,730 per annum – pro rata for part-time)

Location:
John Radcliffe Hospital and Old Road Campus Research Building

Contract type:
Fixed term for 12 months

Hours:
Full-time

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 programme for 12 months.

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

This is a unique opportunity to develop your career at 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 , , , , 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 pathological contexts, with a key focus on further refining the method of digital contrast synthesis.

You are strongly encouraged to read these prior publications before the panel interview.

• 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.
• Obtain enriched support for research grant applications, including research fellowships.

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.

We are committed to equality and valuing diversity throughout all aspects of the recruitment process and in our working environment.