privateCloses in 13 days

Postdoctoral Research Assistant in Temporal Reasoning and Ultrasound Video Analysis

University of Oxford

OX37DQView on map(opens Google Maps in a new tab)

Salary

£39,424 to £47,779

Contract

Not specified

Hours

Not specified

Closing date

15 October 2026

13 days left

Job description

Postdoctoral Research Assistant in Temporal Reasoning and Ultrasound Video Analysis

Department of Engineering Science, Institute of Biomedical Engineering, Old Road Campus Research Building, Headington, Oxford, OX3 7DQ

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

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.

At the University of Oxford your happiness and wellbeing at work is important to us. We have a number of generous benefits including 38 days' annual leave (inclusive of bank holidays and fixed closure days), generous pension schemes and free access to the Oxford colleges. The other benefits include:

  • Travel - We have several travel schemes available for staff which promote sustainable modes of transport.
  • Family friendly benefits - We aim to be a family-friendly employer and offer a range of flexible working options. We have some of the most generous family leave provision in the Higher Education sector.
  • Sports - We have several schemes to help you stay fit and healthy, including discounted membership of the university sports centre on the Iffley Road
  • Personal and professional development - We actively encourage all staff to participate in planning their personal and professional development and provide a broad range of opportunities to enable them to reach their full potential.
  • University club - All staff are entitled to free membership of the University Club. It offers social and hospitality facilities, a small gym and exercise classes.
  • Staff discounts - University staff can access shopping discounts in several ways; by purchasing a TOTUM card, by showing an employee pass in selected local stores, or online by using any of the listed discount codes
  • Childcare services - We offer excellent childcare services including five University nurseries as well as University-supported places at other local private nurseries.

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

For more information about working at the Department, see

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.

Contact Person: Prof Alison Noble Vacancy ID : 188748

Contact Phone: Closing Date & Time : 09-Oct-2026 12:00

Pay Scale: RESEARCH GRADE 7 Contact Email :

Salary (£) : £39,424 - £47,779 per annum

How to apply

Applications are handled entirely by the employer on the original advert. We do not collect CVs, supporting statements or application data.

Provenance

Source

Reed

First seen

17 September 2026

Last checked

2 October 2026

Salary, closing date and description are taken from the employer's advert. The original advert always takes precedence.

About the employer

UOO
University of Oxford

private

This listing was structured from Reed. Vacancy details and the application process remain the responsibility of the original source.

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