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Research Associate in Medical Image Segmentation

Posted: 24th September 2018

Department of Computer Science, Wolfson Building, Parks Road, Oxford. 

Research Associate in Medical Image Segmentation

Fixed term for 1 year

Grade 7: £32,236 - £39,609 p.a.

The “Segmentation of medical data from MRI scans” project, led by Dr. Irina Voiculescu of the Computational Biology and Health Informatics research group, and in collaboration with the Nuffield Orthopaedic Centre (NOC), has a full-time vacancy for a creative and enthusiastic Research Associate.  The project is about the clinical adoption of a medical image segmentation tool developed in the research group. The successful candidate will be seconding in a clinic at the NOC and using that experience in order to transfer the clinical requirements into the software.

The role involves implementing and improving on novel partitioning and segmentation algorithms, reorganising the code base in a robust way, implementing systematic methods for validating the software output, writing timely reports on the research, and performing demonstrations to clinicians and researchers at the NOC.

The primary selection criteria are a doctoral degree in a relevant numerate discipline (or close to completion) or an MSc plus relevant programming experience, strong C++ programming and code documentation skills, and previous experience of contributing to research.  Experience of independently managing a discrete area of a research or software development project, or of actively collaborating in the development of research articles for publication is highly desirable.

Informal enquiries about the position can be made to Dr. Irina Voiculescu ( or 01865 283501.

The closing date for applications is 12 noon on 26th October 2018.

Our staff and students come from all over the world and we proudly promote a friendly and inclusive culture. Diversity is positively encouraged, through diversity groups and champions, for example, as well as a number of family-friendly policies, such as the right to apply for flexible working and support for staff returning from periods of extended absence, for example maternity leave.

For further details and to apply please visit: