Imaging AI Research Associate (Fixed Term)

We are excited to announce an opportunity for an Imaging AI Postdoctoral Research Associate position in the group of Marc Dewey (Professor of Radiology) in the Department of Radiology. This position is funded by the first Academy of Medical Sciences (AMS) Professorship grant to the University of Cambridge (https://acmedsci.ac.uk/more/news/academy-international-research-professorships).

The position will play a role in the coronary imaging AI and histology project of the AMS Professorship grant aiming to achieve the first histology-informed, near-microscopic resolution AI-based CT imaging of coronary atherosclerosis. This is a unique opportunity to help pioneer the next generation of cardiovascular imaging by combining photon-counting CT, micro-CT, 3D histopathology, and advanced AI. During this project you will help building the first large-scale multimodal coronary CT-histology database, develop novel super-resolution algorithms, and contribute to mechanistic insights into coronary atherosclerosis development. The successful candidate will join a multidisciplinary team (www.marcdewey.de and Instagram: @dewey_team) spanning engineering, imaging, cardiovascular medicine, and computer sciences working closely with leading global partners.

You will contribute to internationally significant randomised imaging trials led by our group, including CAD-Man and DISCHARGE, which have resulted in high-impact publications (e.g., BMJ and New England Journal of Medicine) and thereby shaped international guidelines and advanced research in cardiovascular and cardiothoracic imaging. You will support ongoing and new multicentre imaging trials focused on improving the diagnosis, monitoring, and treatment of cardiovascular and cardiothoracic diseases.

We welcome applications from  candidates with a PhD (or equivalent) in a relevant subject area). Expertise in image data handling, multimodal registration, deep learning, strong foundation in Python, R, and SQL, and quantitative imaging are key. A strong developing publication record and evidence of independent problem-solving are essential. They as well as some research experience with a developing track record of publications, a strong foundation in software development and data analysis. They will also bring excellent presentation and teaching skills and be willing to take a leading role in supervising research students.

The Department of Radiology offers an outstanding environment for research and training, with direct access to state-of-the-art facilities, high-performance computing, access to large high-quality databases, and a vibrant imaging research community.

If you have a passion for advanced imaging research, data sharing, and collaborative science, we would love to hear from you.

Informal enquiries or questions relating to the application process may be directed to ClusterHR@medschl.cam.ac.uk.

The closing date for applications is: 01/02/2026

The funds for this post are available for 2 years in the first instance.

Please ensure you upload a covering letter detailing your background and vision for the position, your CV, and a research publication list in the upload section of the online application. If you upload any additional documents, which have not been requested, we will not be able to consider these as part of your application.

Please include details of your referees, including email address and phone number, one of which must be your most recent line manager.

Please quote reference RQ48442 on your application and in any correspondence about this vacancy.

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