Postdoctoral Research Assistant in Fetal Ultrasound Biomarker Discovery Full-time

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 and Professor Aris Papageorghiou. This exciting and ambitious research aims to develop new AI-assistive technology for detecting congenital heart conditions from fetal heart scans. The Oxford team, in partnership with five 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). 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.