About us

UCL is a world leading teaching and research university, often ranked in the top ten in the world with an annual turnover of well over £1 billion. Part of UCL’s vision is to take on the hardest global health challenges. UCL has particular strengths in Biomedicine and Engineering. This is an opportunity to contribute to the EPSRC-funded “Assessing Placental Structure and Function by Unified Fluid Mechanical Modelling and in-vivo MRI” project within the Centre for Medical Image Computing. The successful applicant will develop machine learning models for quantifying placental structure and function from MRI data.

About the role

The main purpose of this job is to develop machine learning algorithms that can that infer micro-scale tissue structure and function from placenta MRI scans. Potential approaches include training algorithms on synthetic dataset of in-silico placental structures, flow and transport maps, and corresponding MRI simulations. The developed algorithms will account for uncertainty, and the fact that this inverse problem is highly underdetermined – there are likely multiple structures that can give rise to the same MRI signal. Another interesting approach to explore is unsupervised learning.

About you

The successful applicant will have a completed PhD or be close to obtaining a PhD, experience of working in a research environment, expertise in machine learning for medical imaging and knowledge of common machine learning libraries, and, ideally, knowledge of MRI and its application in pregnancy. They will have a track record of high-quality research and an emerging track record of journal and/or top tier conference articles in the machine learning for medical imaging field.

What we offer

As well as the exciting opportunities this role presents, we also offer some great benefits some of which are below: • 41 Days holiday (27 days annual leave 8 bank holidays and 6 closure days) • Additional 5 days’ annual leave purchase scheme • Defined benefit career average revalued earnings pension scheme (CARE) • Cycle to work scheme and season ticket loan • Immigration loan • Relocation scheme for certain posts • On-Site nursery • On-site gym • Enhanced maternity, paternity and adoption pay • Employee assistance programme: Staff Support Service • Discounted medical insurance Visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits to find out more.

Our commitment to Equality, Diversity and Inclusion

As London’s Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world’s talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong. We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL’s workforce. These include people from Black, Asian and ethnic minority backgrounds; disabled people; LGBTQI+ people; and for our Grade 9 and 10 roles, women.