Grade 7: £32,817 - £40,322 p.a.
Nov 11, 2020 12:00PM
We are seeking a full-time Postdoctoral Research Assistant in Cardiovascular Image Analysis to join the Biomedical Image Analysis research group at the Institute of Biomedical Engineering, Department of Engineering Science (Old Road Campus Building, Headington). The post is funded by the European Commission and is fixed-term until 30 September 2023.
The project focuses on the development of machine learning-based medical image analysis methods for the construction of accurate subject-specific models of the cardiovascular system. You will be responsible for the design, implementation and validation of these techniques, as well as their dissemination through scientific journals and conferences, and maintaining an active collaboration with medical partners.
You should possess a relevant PhD/DPhil (or be near completion), as well as relevant experience in the area. You should also have previous experience of contributing to publications/presentations and the ability and enthusiasm to deliver results in collaboration with clinical collaborators. Excellent communication skills, including the ability to write for publication, present research proposals and results, and represent the research group at meetings are also essential. Experience in the analysis of cardiovascular images, particularly in the context of computer modelling projects would be beneficial.
Informal enquiries may be addressed to Prof Vicente Grau (email@example.com).
For more information about working at the Department, see www.eng.ox.ac.uk/about/work-with-us/
Only online applications received before midday on Wednesday, 11 November 2020 can be considered. You will be required to upload a covering letter/supporting statement, including a brief statement of research interests (describing how past experience and future plans fit with the advertised position), CV and the details of two referees as part of your online application.
The Department holds an Athena Swan Bronze award, highlighting its commitment to promoting women in Science, Engineering and Technology.
Prof Vicente Grau
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