Postdoctoral Research Assistant in Fetal Ultrasound Biomarker Discovery Closing date: Oct 09, 2026 in Oxford

Postdoctoral Research Assistant in Fetal Ultrasound Biomarker Discovery Closing date: Oct 09, 2026 in Oxford

Oxford Full-Time 39424 - 47779 £ / year (est.) No working from home possible
University of Oxford, Department of Engineering Science

At a Glance

  • Tasks: Join a dynamic team to develop AI technology for detecting congenital heart conditions from fetal ultrasounds.
  • Company: University of Oxford, a leader in research and innovation.
  • Benefits: 38 days annual leave, generous pension, family-friendly policies, and professional development opportunities.
  • Other info: Inclusive culture promoting diversity and equality, with excellent career growth potential.
  • Why this job: Make a real impact in healthcare with cutting-edge research and technology.
  • Qualifications: PhD in medical video analysis or computer vision, with experience in echocardiography preferred.

The predicted salary is between 39424 - 47779 £ per year.

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 ultrasound scans. The Oxford team, in partnership with 5 hospitals 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 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 original image and video-based CHD biomarkers. You will work closely with clinical domain experts to define and evaluate AI biomarker models. You should hold a relevant technical 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.

At the University of Oxford your happiness and wellbeing at work is important to us. We have a number of generous benefits including 38 days' annual leave (inclusive of bank holidays and fixed closure days), generous pension schemes and free access to the Oxford colleges.

  • Travel: We have several travel schemes available for staff which promote sustainable modes of transport.
  • Family friendly benefits: We aim to be a family-friendly employer and offer a range of flexible working options. We have some of the most generous family leave provision in the Higher Education sector.
  • Sports: We have several schemes to help you stay fit and healthy, including discounted membership of the university sports centre on the Iffley Road.
  • Personal and professional development: We actively encourage all staff to participate in planning their personal and professional development and provide a broad range of opportunities to enable them to reach their full potential.
  • University club: All staff are entitled to free membership of the University Club. It offers social and hospitality facilities, a small gym and exercise classes.
  • Staff discounts: University staff can access shopping discounts in several ways; by purchasing a TOTUM card, by showing an employee pass in selected local stores, or online by using any of the listed discount codes.
  • Childcare services: We offer excellent childcare services including five University nurseries as well as University-supported places at other local private nurseries.

Applications are particularly welcome from women and black and minority ethnic candidates who are under-represented in academic posts in Oxford. The Department is committed to equality and valuing diversity and holds an Athena Swan Bronze award, highlighting its commitment to promoting gender equality in academia. The University is a Living Wage Employer, holds an Athena Swan Silver Award, an HR Excellence in Research and a Race Equality Charter Bronze Award and is a Stonewall Diversity Champion. Our staff and students come from all over the world, and we seek to create a friendly and inclusive culture. Diversity is positively encouraged, through our EDI Committee, working groups and networks, for example eng.ox.ac.uk/women-in-engineering, as well as a number of family friendly policies.

Informal enquiries may be addressed to Prof Alison Noble at alison.noble@eng.ox.ac.uk. For more information about working at the Department, see www.eng.ox.ac.uk/about/work-with-us/.

Postdoctoral Research Assistant in Fetal Ultrasound Biomarker Discovery Closing date: Oct 09, 2026 in Oxford employer: University of Oxford, Department of Engineering Science

As a Senior Programme Manager at BOLD Lab, you will be part of a dynamic and collaborative work culture that prioritises scientific excellence and innovation. Our commitment to employee growth is reflected in our supportive environment, where you will have the opportunity to lead impactful projects and develop your skills alongside esteemed academic and professional teams. Located in a vibrant academic setting, we offer unique advantages such as access to cutting-edge research facilities and a network of external partners dedicated to fostering sustainable growth.

University of Oxford, Department of Engineering Science

Contact Details:

University of Oxford, Department of Engineering Science Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Postdoctoral Research Assistant in Fetal Ultrasound Biomarker Discovery Closing date: Oct 09, 2026 in Oxford

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We think you need these skills to ace Postdoctoral Research Assistant in Fetal Ultrasound Biomarker Discovery Closing date: Oct 09, 2026 in Oxford

Machine Learning
Medical Video Analysis
Computer Vision
Echocardiography
Fetal Echocardiography
Data Analysis
AI Biomarker Model Evaluation

Some tips for your application 🫡

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