John Radcliffe Hospital and Old Road Campus Research Building, Oxford
Grade 7: £36,024 - £44,263 p.a.
Location: John Radcliffe Hospital and Old Road Campus Research Building
Contract type: Fixed term for 36 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 36 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 FDG tracer' for cancer imaging. You are strongly encouraged to read these prior publications prior to the panel interview.
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 ([email protected]) or Prof Vicente Grau ([email protected]).
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 NDSA933 on all correspondence.
Only applications received before noon 3 July 2024 can be considered.
Interviews will be held in the afternoon of 18 July 2024.
Committed to equality and valuing diversity
Contact Person : Claire Wheeler Vacancy ID : 173045 Contact Phone : 01865 612299 Closing Date & Time : 03-Jul-2024 12:00 Pay Scale : STANDARD GRADE 7 Contact Email : [email protected] Salary (£) : £36,024 - £44,263 p.a