Postdoctoral Research Assistant in Biomedical Image Analysis

We are seeking a full-time Postdoctoral Researcher to join the research group
of Professor Jens Rittscher at the Department of Engineering Science
Headington. The post is funded by Wellcome Trust Bioimaging Technology
Development Award and is fixed-term until 30 April 2026.





The vision and ambition of this Wellcome Trust Bioimaging Technology
Development Award is to enable the analysis of cell morphology and tissue
architecture in 3D and quantify protein and transcripts in their spatial
context. Our current understanding of disease is primarily based on 2D models
and thin tissue sections. The convergence of novel methods for imaging a broad
range of biomolecules, spatially resolved single cell genomics, and AI applied
to digitised tissue images has the potential change the way in which we
diagnose disease, assess response to therapy, and manage patients.





The Postdoctoral Researcher 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 be responsible for development,
validation, and testing of novel image analysis algorithms. As part of a
larger cross-disciplinary project you will be working closely with other
members of the team to conduct hypothesis driven research.





You should hold a relevant PhD/DPhil or be near completion, together with
experience in deep learning and biomedical image analysis and have a strong
interest in cross-disciplinary research.





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 **18 November 2024** 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.