UNIVERSITY OF LINCOLN

Post-Doctoral Research Associate, Biomedical Image Analysis

Location
Lincoln, United Kingdom
Salary
£34,304 per annum
Posted
27 Jul 2022
End of advertisement period
15 Aug 2022
Ref
COS905
Contract Type
Fixed Term
Hours
Full Time

School of Computer Science

Location:  Lincoln
Salary:   From £34,304 per annum
Please note this role is fixed term for 27 months, and full time at 1.0 FTE.
Closing Date:   Wednesday 24 August 2022
Interview Date:   Monday 12 September 2022
Reference:  COS905

The University of Lincoln is seeking to appoint a Post-Doctoral Research Associate within the School of Computer Science. This position is externally funded by the EPSRC project “Hierarchical Deep Representations of Anatomy (HiDRA)” (https://gow.epsrc.ukri.org/NGBOViewGrant.aspx?GrantRef=EP/W011794/1), led by Dr James Brown (https://staff.lincoln.ac.uk/jamesbrown). The project is an interdisciplinary collaboration with Dr Sara Wells and colleagues at the Mary Lyon Centre at MRC Harwell (https://har.mrc.ac.uk), focused on developing deep learning approaches for musculoskeletal phenotyping.

This project calls for an enthusiastic and self-motivated early career researcher interested in working at the intersection of the computational and biomedical sciences. Candidates should have, or expect to soon obtain, a PhD in a relevant discipline and experience in computer vision/deep learning. They must also have strong mathematical and coding skills, and preferably some experience in open-source software development. Specific experience in biomedical image analysis is preferred but not required. The post will be fixed term for 27 months.

As the successful candidate, you will join a friendly and diverse team of postgraduate students with interests in computer vision, machine learning, and biomedical imaging. Your project will be focused on developing deep learning approaches for the detection of skeletal phenotypes from x-rays of mice. Using a large annotated dataset produced by the International Mouse Phenotyping Consortium (IMPC), you will develop a novel approach to classifying a wide range of skeletal anomalies from multi-view input. As an interdisciplinary project, you will also work closely with colleagues from the mouse genetics community to develop tools for automated annotation in a high-throughput context. You will have the opportunity to disseminate your research via internationally leading journals and conferences from both the computational and biomedical sciences. You will be supported in your continuing professional development and will have access to a suite of training courses offered by the university on topics such as grant writing, project management, supervision, and leadership. You will also be provided with opportunities to teach and supervise students at undergraduate and postgraduate levels.

The University of Lincoln has been recognised as one of the UK's most successful young universities, based in the beautiful and historic city of Lincoln. In the School of Computer Science, over 80% of our research was recognised as internationally excellent or world-leading in the Research Excellence Framework 2021, ranking joint 9th in the UK for research impact.

For informal enquiries about the project, please contact the Principal Investigator, Dr James Brown: jamesbrown@lincoln.ac.uk.