Postdoctoral Research Assistant in Temporal Reasoning and Ultrasound Video Analysis
University of Oxford, United Kingdom
- Institution
- University of Oxford
- Country
- United Kingdom
- Position type
- Postdoc
- Salary
- GBP 39424.00–47779.00 YEAR
- Location
- Oxford, England, United Kingdom
- Funding
- Fully funded position
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About this position
Location: Old Road Campus Research Building, Headington, Oxford, OX3 7DQ
PLEASE NOTE: THIS IS A RE-ADVERTISEMENT, PREVIOUS APPLICANTS NEED NOT APPLY
About the role
We are seeking a creative and highly motivated postdoctoral researcher to join the 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. This post focuses on bridging theory and application of temporal reasoning and ultrasound video analysis from the human-AI collaboration (HAIC) perspective. You will be part of the Noble research group at the Institute of Biomedical Engineering, based at the Old Road Campus in Headington. The full-time post is funded by UKRI and is fixed term for 24 months.
About you
You will be working in a small highly motivated inter-disciplinary team working towards a shared goal. You will be responsible for the design and pilot testing of machine learning-based automated ultrasound video analysis models that incorporate temporal reasoning. The research will also include work that aims to understand how human behaviour may change with temporal reasoning ultrasound AI tools. Thus, the work will involve both computational methods research and collaborating with clinical domain experts to design and evaluate models in simulated and real clinical scenarios. Evaluation may involve quantitative studies (model performance) and qualitative studies (human factors assessment).
You should hold a relevant PhD/DPhil (or near completion) and have publications in medical image analysis or computer vision video analysis. Knowledge of ultrasound imaging is not a requirement but an interest in research at the interface of machine learning with real-world applications and use is essential.
How to apply
Applications for this vacancy are to be made online via our e-recruitment system and should include the covering letter/supporting statement (describing how you meet the criteria), and including a brief statement of research interests (describing how past experience and future plans fit with the advertised position) a CV, and names of two academic references.
The position is a full-time, fixed-term post available for 24 months.
The closing date for applications is 12.00 noon on Friday 09 October 2026.
Informal enquiries may be addressed to Prof 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/
Applications are particularly welcome from women and black and minority ethnic candidates who are under-represented in academic posts in Oxford. The Department is committed to equality and valuing diversity and holds an Athena Swan Bronze award, highlighting its commitment to promoting gender equality in academia. The University is a Living Wage Employer, holds an Athena Swan Silver Award, an HR Excellence in Research and a Race Equality Charter Bronze Award and is a Stonewall Diversity Champion. Our staff and students come from all over the world, and we seek to create a friendly and inclusive culture. Diversity is positively encouraged, through our EDI Committee, working groups and networks, for example eng.ox.ac.uk/women-in-engineering, as well as a number of family friendly policies.
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