Postdoctoral Researcher in Computerised Tomography Image Analysis

**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
(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 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**