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Postdoctoral Research Assistant in Temporal Reasoning and Ultrasound Video Analysis

Applications Close:

University of Oxford

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

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Postdoctoral Research Assistant in Temporal Reasoning and Ultrasound Video Analysis

Research Grade 7

22 May 2026 12:00

Location

Old Road Campus Research Building, Headington, Oxford, OX3 7DQ

University of Oxford

Type

Full-time fixed-term (24 months)

Salary

£39,424 - £47,779 per annum (Inclusive of Oxford University Weighting)

Required Qualifications

Relevant PhD/DPhil (or near completion)
Publications in medical image analysis or computer vision video analysis
Interest in machine learning for real-world applications

Research Areas

Temporal Reasoning
Ultrasound Video Analysis
Human-AI Collaboration
Healthcare Imaging
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Postdoctoral Research Assistant in Temporal Reasoning and Ultrasound Video Analysis

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: 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 22 May 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.

The Department holds an Athena Swan Bronze award, highlighting its commitment to promoting women in Science, Engineering and Technology.

Contact Person: Professor Alison Noble
Vacancy ID: 186105
Closing Date & Time: 22-May-2026 12:00
Pay Scale: RESEARCH GRADE 7
Contact Email: alison.noble@eng.ox.ac.uk
Salary (£): £39,424 - £47,779 per annum (Inclusive of Oxford University Weighting)

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Frequently Asked Questions

🎓What qualifications are required for this Postdoctoral Research Assistant role?

You need a relevant PhD/DPhil (or be near completion) with publications in medical image analysis or computer vision video analysis. Knowledge of ultrasound imaging is not required, but interest in machine learning for real-world healthcare applications is essential. Explore similar postdoc positions or research jobs for preparation tips.

🔬What are the main responsibilities in Temporal Reasoning and Ultrasound Video Analysis?

Design and pilot test machine learning-based automated ultrasound video analysis models incorporating temporal reasoning. Collaborate on human-AI collaboration studies, including quantitative model performance and qualitative human factors assessments in clinical scenarios. This aligns with postdoctoral research success strategies.

📅What is the application process and deadline for this Oxford postdoc?

Applications close at midday on 22 May 2026. Submit online with a cover letter/supporting statement (including research interests), CV, and two referees. Use resources like our free resume template and cover letter template to strengthen your academic CV.

💰What is the salary, duration, and employment type?

Salary: £39,424 - £47,779 per annum (Grade 7, inclusive of Oxford weighting). Full-time, fixed-term for 24 months, funded by UKRI. Check professor salaries and university salaries for UK academic pay insights.

📧How to make informal enquiries about this ultrasound AI research position?

Contact Professor Alison Noble at alison.noble@eng.ox.ac.uk. Visit faculty jobs or the department site for more on working at University of Oxford.

Is experience in ultrasound imaging necessary for this human-AI healthcare role?

No, ultrasound imaging knowledge is not required, but enthusiasm for AI in healthcare imaging and temporal reasoning in videos is key. The role bridges theory and clinical application with inter-disciplinary collaboration. See clinical research jobs for related opportunities.
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