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UCL-CMIC is offering the following full-time fixed -term position:
Research Fellow in Machine Learning & Modelling in Placental MRI
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. I
For further information and to apply, follow the link:
Job details: Research Fellow in Machine Learning & Modelling in Placental MRI (ucl.ac.uk)
Closing date is 18th June 2023.
Interviews for this role will take place on 30/06/2023 BST
https://www.ucl.ac.uk/work-at-ucl/
