Postdoctoral Research Assistant in Human-AI Collaboration

We are looking for a creative and highly motivated postdoctoral researcher to
join the new Turing AI World-Leading Fellowship research programme led by
Professor Alison Noble. This exciting and ambitious research aims to develop
new AI for shared human-AI decision-making in healthcare imaging. Topics in
the research programme include single- and multi-modal video-based human-
machine collaboration, federated learning for healthcare collaboration and
partnership, applied research to understand human skill in healthcare
settings, and an investigation of different AI scientist career mobility
schemes. The researcher will be part of the Noble research group at the
Institute of Biomedical Engineering, based at the Old Road Campus in
Headington. This full-time post is funded by the UKRI and is fixed term for up
to 2 years in the first instance.





You will be responsible for the design and testing of machine-learning based
algorithms for HAIC. You will work with clinical domain experts to develop
tools and evaluate them. The choice of the specific clinical task(s) will be
defined in the initial phase of the project which will involve discussions
with clinical groups interested in HAIC.



You will hold a relevant PhD/DPhil (or be near completion) in machine
learning, computer vision or biomedical image analysis, together with relevant
experience. Publications/presentations in top conferences and journals in the
discipline of work including as a first author is essential, as well as
experience of original deep learning in imaging architecture design and
evaluation.





Informal enquiries may be addressed to Professor Alison Noble
(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 **10 May 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.