Research Assistant in Medical Image Segmentation Fixed term for 1 year, Grade 7: £30,434 - £37,394 p.a.

The “Segmentation of medical data from MRI scans” project, led by Dr. Irina Voiculescu of the Computational Biology research group, and in collaboration with the Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences (NDORMS), has a full-time vacancy for a creative and enthusiastic Research Assistant.  The project aims to re-design software to accurately segment and analyse medical images, so that it can be used on MRI, as well as CT scans.

You would be expected to develop algorithms and implement validation methods, maintain and document the software and data repositories, prepare and analyse tissue for scanning and validation and perform demonstrations to clinicians and researchers.

The primary selection criteria are a doctoral degree in a relevant numerate discipline (or close to completion), strong programming and code documentation skills (preferably in C++), and previous experience of contributing to research.  Familiarity with the MRI data format, experience with cross-platform software development and ethical issues on technical projects is preferred.

The post, which is a full-time appointment, is funded by The John Fell OUP Research Fund, and is available for 1 year. It has a salary on the University grade 07S scale (currently £30,434 to £37,394 p.a.). This includes membership of the University Superannuation Scheme (USS) and has an annual leave entitlement of 38 days per year (inclusive of all public holidays and university closed periods).

Interviews are expected to be held on 16 March 2015.