Postdoctoral Research Assistant in Human-AI Collaboration

<div xmlns="http://www.w3.org/1999/xhtml"> <p></p><div>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. &#160;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.</div><br> <div>&#160;</div><br> <div>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.&#160; 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.</div><br> <div>You will hold a relevant PhD/DPhil (or be near completion) in machine learning, computer vision or biomedical image analysis, together with relevant experience.&#160; 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.</div><br> <div>&#160;</div><br> <div>Informal enquiries may be addressed to Professor Alison Noble (alison.noble@eng.ox.ac.uk).</div><br> <div>&#160;</div><br> <div>For more information about working at the Department, see <a rel="nofollow" href="http://www.eng.ox.ac.uk/about/work-with-us/">www.eng.ox.ac.uk/about/work-with-us/</a></div><br> <div>&#160;</div><br> <div>Only online applications received before midday on <strong>10 May 2024</strong> 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.</div><br> <div>&#160;</div><br> <div>The Department holds an Athena Swan Bronze award, highlighting its commitment to promoting women in Science, Engineering and Technology.</div> </div>