Postdoctoral Research Assistant in Fetal Ultrasound Biomarker Discovery
Grade 7: £39,424 - £47,779 per annum, including Oxford University Weighting (OUW)
Description
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 five hospital sites, has curated a large fetal echocardiography dataset called CAIFE consisting of both healthy and abnormal fetal heart scans.
In this role 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 position is funded by InnoHK and is fixed‑term for 12 months.
You will be working in a small highly motivated interdisciplinary team working towards a shared goal. You will design and pilot test image and video‑based CHD biomarkers, and work closely with clinical domain experts to define and evaluate AI models.
Responsibilities
* Design and pilot testing of original image and video‑based CHD biomarkers.
* Develop machine‑learning methods for fetal heart biomarker discovery from the CAIFE dataset.
* Collaborate with clinical experts to define and evaluate AI models.
Qualifications
* Relevant PhD/DPhil (or near completion) in medical video analysis or computer vision with a video focus.
* Prior experience in working with echocardiography or fetal echocardiography, or related experience on real‑world video analysis.
Contact
Professor Alison Noble
Contact email
alison.noble@eng.ox.ac.uk
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