Vacancies

Research Associate/Assistant in Trustworthy MRI Reconstruction with Uncertainty Modelling

We are looking for an enthusiastic research associate (post-doctoral) / research assistant (pre-doctoral) to make a leading contribution to a project on TrustMRI: Trustworthy and Robust Magnetic Resonance Image Reconstruction with Uncertainty Modelling and Deep Learning.

The objective of the post is to enable the advancement towards trustworthy and robust AI-based MRI reconstruction, through equipping them with the ability to model uncertainty and handle cases outside distribution. MRI is the leading diagnostic modality for a wide range of exams, but the physics of its data acquisition process makes it inherently slow. Recently, AI techniques have opened the possibility to accelerate this considerably, however, the lack of consideration of their trustworthiness and failure management limits their translational potential in clinical practice. The project will aim to develop advanced probabilistic deep learning methods that can reliably quantify and evaluate uncertainty for AI-based MRI reconstruction, as well as leveraging that for robust and adaptive deployment. The project will involve interdisciplinary research and close collaborations with academic and industrial partners.

Candidates with expertise in deep generative models, probabilistic modelling, active learning and computer vision/medical imaging are preferred. The successful candidate will be hosted by Department of Electrical and Electronic Engineering and the College’s new I-X initiative (https://ix.imperial.ac.uk/), under the joint supervision of Dr Chen Qin (https://cq615.github.io/), and Dr Yingzhen Li (http://yingzhenli.net/home/en/), and work with a team of researchers and PhD students at Biomedical Image Analysis Group (https://biomedia.doc.ic.ac.uk/).

How to apply: To Apply, please attach a full CV, with a list of all publications and a 2-page research statement and proposal indicating what you see are interesting research issues relating to the above post and why your expertise is relevant. Any element relating your experience / passion for software engineering (blog, open source projects, GitHub repositories, and others) will be carefully inspected.

Early applications are encouraged. The recruitment is on a rolling basis. Closing date: 19th July 2026. For further details of the post, please contact Dr Chen Qin at c.qin15@imperial.ac.uk.