Post-Doctoral Research Associate – Biomedical Image Analysis
Wednesday 27th July 2022
Organization University of Lincoln
Location Lincoln, UK
Title Post-Doctoral Research Associate – Biomedical Image Analysis
Email Address firstname.lastname@example.org
Closing Date: 24th August 2022
Description: 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.
For informal enquiries about the position, please contact the Principal Investigator, Dr James Brown: email@example.com.