UNIVERSITY OF MANCHESTER

Research Associate in Image Analysis Techniques for Analysing Bone Shape

Location
Manchester, United Kingdom
Salary
£32,236 to £36,261 per annum (according to relevant experience)
Posted
05 Feb 2019
End of advertisement period
07 Mar 2019
Ref
BM&H-13454
Contract Type
Fixed Term
Hours
Full Time

Location : Oxford Road, Manchester
Closing Date : 07/03/2019
Salary : £32,236 to £36,261 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 : ASAP for 3 years from start date

Applications are invited for a Research Associate in Image Analysis Techniques for Analysing Bone Shape, in the Division of Informatics, Imaging and Data Sciences. The post will be tenable on a fixed term basis for 3 years in the first instance.

You will join the Centre for Imaging Sciences and take responsibility for a defined area of research, under the supervision of Professor Tim Cootes. You will contribute to a collaboration with research groups in Bristol, Southampton and Aberdeen to analyse DXA images from approximately 100,000 volunteers in the UKBiobank Imaging study (www.ukbiobank.ac.uk). The study is currently collecting DXA images of the knees, hips and spine of each participant. You will be responsible for developing and validating fully automatic systems for annotating the shapes of the bones in each image. You should be able to interact effectively with researchers from a range of disciplines to develop the programme of research.

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 numerate or biomedical research area. You should have a background in quantitative scientific data analysis, computer vision, medical image analysis, or machine learning and have previous experience in programming in C, C++, Matlab, Python or similar languages. Experience of scientific algorithm/methods design and 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:

https://www.bmh.manchester.ac.uk/about/equality/

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

Enquiries about vacancy shortlisting and interviews:

Name: Professor Tim Cootes

Email: timothy.f.cootes@manchester.ac.uk

Technical support:

Email: universityofmanchester@helpmeapply.co.uk

Tel: 0161 850 2004

General enquiries:

Email: hrservices@manchester.ac.uk

Tel: 0161 275 4499

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

Further Particulars and Job Description