Location: | Oxford |
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Salary: | £48,235 to £57,255 per annum (including Oxford University Weighting), Grade 8 |
Hours: | Full Time |
Contract Type: | Fixed-Term/Contract |
Placed On: | 29th October 2024 |
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Closes: | 25th November 2024 |
Job Ref: | 176120 |
We are seeking a full-time Research Software Engineering to join the research group of Professor Jens Rittscher at the Department of Engineering Science, Institute of Biomedical Engineering, Headington. The post is funded by the Wellcome Trust Bioimaging Technology Development Award and is fixed-term until 30 April 2026.
The Research Software Engineer will develop novel algorithms using latest computer vision and machine learning techniques that will enable the detection and analysis of tissue architecture components and subtle disease related changes in images of 3D tissues. You will also implement biomedical image analysis workflows and oversee data processing. This will involve utilisation of deep learning methodologies and the processing of complex large datasets. Here, you will work with other team members to integrate newly developed deep learning models into image processing pipelines.
You should hold a relevant PhD/DPhil with post-qualification experience in deep learning and biomedical image analysis. You should also have a strong interest in cross-disciplinary research and experience in supporting users of complex software packages. Experience in medical imaging and large-scale data processing is also essential.
Informal enquiries may be addressed to Jens Rittscher (jens.rittscher@eng.ox.ac.uk).
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 25 November 2024 can be considered. You will be required to upload a cover 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.
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