Research Associate in Medical Image Analysis

Job Reference : BM&H-13464
Location : Oxford Road, Manchester
Closing Date (DD-MM-YYYY) : 18/03/2019
Salary : £32,236 to £39,609 per annum (according to relevant experience)
Employment Type : Fixed Term
Faculty / Organisational Unit : Biology, Medicine & Health
Division : Informatics, Imaging & Data Sciences
Hours Per week : Full Time
Contract Duration : 1 April 2019 until 30 September 2021

Applications are invited for a Research Associate in Medical Image Analysis in the Centre for Imaging Science, Division of Informatics, Imaging and Data Sciences. The post will be available from 1 April 2019 and will be tenable on a fixed-term basis for 30 months in the first instance.

You will join a thriving research group in the Centre for Imaging Sciences and take responsibility for a defined area of research, under the supervision of Professor Chris Taylor. You will contribute to an exciting collaboration with the Salford Royal NHS Foundation Trust to develop an inexpensive imaging and automated analysis system to support early diagnosis of systemic sclerosis – a painful, disabling disease affecting around 10,000 people in the UK. This will involve addressing some significant medical image analysis challenges, and working closely with the clinical team and patients to develop a system suitable for routine use.

You will hold a PhD, or be expected to do so by the time of commencing the post, or have equivalent experience, in a relevant area of numerate research. You should have a background in quantitative scientific data analysis, computer vision, medical image analysis, or machine learning and have previous experience in object-oriented programming, ideally in C++. Experience of scientific algorithm design, statistical evaluation and a developing publication record would be advantageous.

The School is strongly committed to promoting equality and diversity, including the Athena SWAN charter for gender equality in higher education. The School holds a Silver Award which recognises their good practice in relation to gender; including flexible working arrangements, family-friendly policies, and support to allow staff achieve a good work-life balance. We particularly welcome applications from women for this post. Appointment will always be made on merit. For further information, please visit:

Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies

Interviews will be held on 7 March 2019

Enquiries about vacancy shortlisting and interviews:

Name: Professor Chris Taylor


Technical support:


Tel:      0161 850 2004

General enquiries:


Tel:      0161 275 4499

This vacancy will close for applications at midnight on the closing date

Further Particulars and Job Description



This position is now closed. We are no longer accepting applications for this position.