Postdoctoral Research Assistant in Explainable Medical Video Analysis

THIS IS A RE-ADVERTISEMENT, PREVIOUS APPLICANTS NEED NOT APPLY





We are seeking a creative and highly motivated postdoctoral researcher to join
the COCHE project led by Professor Alison Noble. This exciting and ambitious
research aims to develop new AI for analysis of fetal echocardiography video
sweeps in support of simplifying earlier detection of congenital heart
conditions in pregnancy. The post involves developing new AI-based ultrasound
video analysis methods which will be validated in collaboration with clinical
partners as part of the research. The appointee will be part of the Noble
research group at the Institute of Biomedical Engineering, based at the Old
Road Campus in Headington. The post is funded by InnoHK and is fixed term
until 30 November 2025.





You will be responsible for the design and testing of original machine-
learning based methods for detecting heart anatomy and disease from short
ultrasound video sweeps as part of a collective effort to develop a suite of
automated analysis tools to support earlier detection of congenital heart
conditions. There are interesting technical challenges in doing this which
require thinking about domain adaptation in video analysis, and clinical
interpretability of outputs to ensure that the AI model is trusted. You may
also support clinically led research exploring clinical adoption of this new
technology, and on-going data collection and (manual and automatic) annotation
efforts from the multiple sites we partner with.





You should hold a relevant PhD/DPhil or be near completion, in Computer Vision
or Biomedical Image Analysis. You should have a strong publication record at
the principal international computer vision or medical image
conference/journal publications dependent on your background and should hold
sufficient theoretical and practical knowledge of deep learning-based
methodologies and statistical learning.





Informal enquiries may be addressed to Prof Alison Noble (email:
alison.noble@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 **31 January 2024** can be
considered. You will be required to upload a covering letter/supporting
statement, including a brief statement of how research (describing how past
experience and future plans fit with the advertised position), CV including
highlighting your top three papers, 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.