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Postdoctoral Research Assistant in Fetal Ultrasound Biomarker Discovery

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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 Fetal Ultrasound Biomarker Discovery

Postdoctoral Research Assistant (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 (12 months)

Salary

Grade 7: £39,424 - £47,779 per annum (incl. OUW)

Required Qualifications

PhD/DPhil in medical video analysis or computer vision (or near completion)
Experience in echocardiography or fetal echocardiography
Machine learning for video analysis

Research Areas

Fetal ultrasound biomarker discovery
AI for congenital heart defects (CHDs)
Fetal echocardiography machine learning
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Postdoctoral Research Assistant in Fetal Ultrasound Biomarker Discovery

We are seeking a creative and highly motivated postdoctoral researcher to join the CAIFE study, a joint project led by Professor Alison Noble (Institute of Biomedical Engineering) and Professor Aris Papageorghiou (Department of Women’s and Reproductive Health). This exciting and ambitious research aims to develop new AI-assistive technology for detecting congenital heart conditions (CHDs) from fetal heart scans. The Oxford team, in partnership with 5 hospital sites, has curated a large fetal echocardiography dataset called CAIFE consisting of both healthy and abnormal fetal heart scans.

You will be responsible for the design and testing of original machine-learning based methods for fetal heart biomarker discovery from the CAIFE image and video dataset. The full-time post is funded by InnoHK and is fixed-term for 12 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 original image and video-based CHD biomarkers. You will work closely with clinical domain experts to define and evaluate AI models.

You should hold a relevant PhD/DPhil (or near completion) in medical video analysis or computer vision with a video focus, and ideally have prior experience of working with echocardiography or fetal echocardiography or related experience on real-world video analysis.

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.

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

Salary: Grade 7: £39,424 - £47,779 per annum, including Oxford University Weighting (OUW)

Contact Person: Professor Alison Noble | Vacancy ID: 186107 | Closing Date & Time: 22-May-2026 12:00

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Frequently Asked Questions

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

You need a relevant PhD/DPhil (or near completion) in medical video analysis, computer vision with video focus, or related fields. Ideal experience includes echocardiography, fetal echocardiography, or real-world video analysis. Learn more about thriving in postdoctoral research roles and crafting a strong academic CV.

🔬What are the main responsibilities in fetal ultrasound biomarker discovery?

Design and pilot test original machine learning methods for fetal heart biomarkers from the CAIFE dataset. Work with clinical experts to define and evaluate AI models for detecting congenital heart conditions (CHDs) in fetal scans. Explore research assistant jobs for similar AI-focused roles.

📝How do I apply for this University of Oxford postdoc position?

Submit an online application before midday on 22 May 2026, including a cover letter with research interests, CV, and two referees. Use Vacancy ID: 186107. Contact Prof Alison Noble for enquiries. See tips on postdoc jobs and free cover letter templates.

💰What is the salary and employment details for this role?

Salary: Grade 7: £39,424 - £47,779 per annum (including Oxford University Weighting). Full-time, fixed-term for 12 months, funded by InnoHK. Check university salaries for context on Oxford pay scales.

📍Where is the position located and what is the team like?

Based at Department of Engineering Science, Institute of Biomedical Engineering, Old Road Campus, Headington, Oxford. Join a small, motivated inter-disciplinary team on the CAIFE study with Profs Alison Noble and Aris Papageorghiou. More on faculty jobs at Oxford.

🩺What is the CAIFE dataset and research focus?

CAIFE is a large fetal echocardiography dataset of healthy and abnormal scans from 5 hospital sites. Focus: Develop AI-assistive technology for CHD detection via novel biomarkers. Aligns with clinical research jobs in biomedical engineering.
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