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University of Oxford

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Postdoctoral Research Assistant in Fetal Ultrasound Biomarker Discovery at the University of Oxford University of Oxford in United Kingdom

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full-time post funded by InnoHK and fixed term for 24 months.

Deadline

Oct 9, 2026

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Country

United Kingdom

University

University of Oxford

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Keywords

Computer Science
Biomarker Research
Biomedical Engineering
Biology
Artificial Intelligence
Computer Vision
Medical Science
Congenital Heart Disease
Echocardiography
ML

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About this position

University of Oxford is advertising a Postdoctoral Research Assistant position in fetal ultrasound biomarker discovery, linked to the CAIFE study. The project is led by Professor Alison Noble (Institute of Biomedical Engineering) and Professor Aris Papageorghiou (Department of Women’s and Reproductive Health).

The research focuses on developing AI-assistive technology for detecting congenital heart conditions (CHDs) from fetal heart ultrasound scans. The successful candidate will work with a curated fetal echocardiography dataset containing healthy and abnormal fetal heart scans, and will design and test original machine-learning methods for biomarker discovery from image and video data.

This is a full-time, fixed-term post for 24 months, funded by InnoHK. The role is highly interdisciplinary and involves close collaboration with clinical domain experts and a small motivated team.

Applicants should hold a relevant PhD/DPhil (or be near completion) in medical video analysis or computer vision with a video focus. Prior experience with echocardiography, fetal echocardiography, or related real-world video analysis is strongly preferred.

To apply, submit an online application through the University of Oxford e-recruitment system with a covering letter/supporting statement, a brief statement of research interests, a CV, and the names of two academic references. The closing date is 09 October 2026 at 12:00 noon.

Funding details

Full-time post funded by InnoHK and fixed term for 24 months.

What's required

Relevant technical PhD/DPhil or near completion in medical video analysis or computer vision with a video focus. Prior experience with echocardiography or fetal echocardiography is ideally required, or related experience in real-world video analysis. Applicants should be creative, highly motivated, and able to work in an interdisciplinary team with clinical experts.

How to apply

Apply online via the University of Oxford e-recruitment system. Submit a covering letter/supporting statement explaining how you meet the criteria, a brief statement of research interests, a CV, and the names of two academic referees. Applications close at noon on 09 October 2026.

More information can be found here

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