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Postdoctoral Research Assistant in Temporal Reasoning and Ultrasound Video Analysis Closing dat

Job in Oxford, Oxfordshire, OX1, England, UK
Listing for: University of Oxford
Full Time, Seasonal/Temporary position
Listed on 2026-07-14
Job specializations:
  • Research/Development
    Research Scientist, Data Scientist
Salary/Wage Range or Industry Benchmark: 39424 - 47779 GBP Yearly GBP 39424.00 47779.00 YEAR
Job Description & How to Apply Below
Position: Postdoctoral Research Assistant in Temporal Reasoning and Ultrasound Video Analysis Closing dat[...]
# Postdoctoral Research Assistant in Temporal Reasoning and Ultrasound Video Analysis#### Salary £39,424 - £47,779 per annum (Inclusive of Oxford University Weighting)#### Closing date

Aug 17, 2026 12:00PM#### Contact name Professor Alison Noble#### Contact emailalison.noble.ac.ukThe job description is available via the Apply Now button

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.

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.

Informal enquiries may be addressed to Prof Alison Noble (email: ).For more information about working at the Department, seeOnly online applications received before midday on
** 17 August 2026
** can be considered. You will be required to upload a cover 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. Interviews are expected to take place on 3 September 2026.The Department holds an Athena Swan Bronze award, highlighting its commitment to promoting women in Science, Engineering and Technology.#

Description
** PLEASE NOTE THIS IS A RE-ADVERTISEMENT, PREVIOUS APPLICANTS NEED NOT APPLY.*
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