The Division of Informatics, Imaging and Data Sciences within the Faculty of Biology, Medicine and Health invites applications for a Research Associate to develop multimodal agentic AI for clinical decision support in cardiology. The project will integrate cardiac imaging, ECGs, clinical reports and other patient information to develop AI systems that interpret clinical evidence, identify missing or conflicting information, and recommend appropriate next investigations for clinician review.
In this role, you will curate multimodal cardiovascular datasets, develop methods to integrate imaging and clinical information, and design AI agents that gather evidence, use analytical tools and support clinical reasoning. Working closely with cardiologists, you will evaluate these systems for accuracy, reliability, interpretability and clinical relevance. You will also contribute to research publications, present findings at conferences and support the development of future funding applications.
The successful candidate will work under the supervision of Dr Jinming Duan, collaborating with colleagues in the BHF Manchester Centre of Research Excellence and clinical teams at Wythenshawe Hospital, part of Manchester University NHS Foundation Trust.
You should hold, or be nearing completion of, a PhD in computer science, artificial intelligence, medical image analysis, biomedical engineering, applied mathematics or a related discipline. You will have strong Python programming skills, practical experience in deep learning, and the ability to design and critically evaluate AI methods. Experience with multimodal learning, large language models, AI agents or medical imaging would be advantageous. Clear communication, effective collaboration and a commitment to rigorous, reproducible research are essential.
British Heart Foundation Manchester Centre of Research Excellence
The British Heart Foundation (BHF) has been awarded one of its prestigious Centres of Research Excellence (CRE) to The University of Manchester. This competitive award recognises the internationally leading position of cardiovascular science at our University and provides £4M over the next five years to further develop this excellence. The University has matched the BHF investment with £4M of its own money. This £8M total commitment represents the most significant initiative in cardiovascular research in Manchester this century. The Centre is interdisciplinary, involving not only basic cardiovascular scientists and clinicians, but colleagues in inflammation biology, data science, computer science and engineering.
The BHF is one of the largest charitable funders of heart and circulatory research in the world. BHF funds around half of all the cardiovascular research performed in the UK and focuses its resources on scientifically excellent projects with a potential to benefit the health of people with, or at risk of, cardiovascular disease.
BHF funded research has delivered many key advances for patients and their families, many of which are detailed on the BHF website.
What you will get in return:
As an equal opportunities employer we welcome applicants from all sections of the community regardless of age, sex, gender (or gender identity), ethnicity, disability, sexual orientation and transgender status. All appointments are made on merit.
Our University is positive about flexible working – you can find out more here
Hybrid working arrangements may be considered.
Please be aware that due to the number of applications we unfortunately may not able to provide individual feedback on your application.
Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.
Any recruitment enquiries from recruitment agencies should be directed to recruitmentservices.people@manchester.ac.uk
Any CV’s submitted by a recruitment agency will be considered a gift.
Enquiries about the vacancy, shortlisting and interviews:
Name: Dr Jinming Duan
Email: Jinming.Duan@manchester.ac.uk
Name: Ms Jennifer Carlson
Email: BHFCRE@manchester.ac.uk
General enquiries:
Email: recruitmentservices.people@manchester.ac.uk
Technical support:
https://knowledge.jobtrain.co.uk/jobseeker [knowledge.jobtrain.co.uk]
This vacancy will close for applications at midnight on the closing date.
Please see the link below for the Further Particulars document which contains the person specification criteria
