Queen Mary University of London
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Postdoctoral Research Associate in Machine Learning for Cardiovascular Digital Twins Queen Mary University of London in United Kingdom
Degree Level
Postdoc
Field of study
Computer Science
Funding
The post is funded by the National Institute for Health and Care Research Barts Biomedical Research Centre and is funded until 31 March 2028 in the first instance. The role is available immediately.
Deadline
Oct 11, 2026
Country
United Kingdom
University
Queen Mary University of London

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About this position
Postdoctoral Research Associate in Machine Learning for Cardiovascular Digital Twins at Queen Mary University of London, United Kingdom.
This postdoctoral opening sits within the Precision Health, Cardiovascular Devices and Trials Theme of the NIHR Biomedical Research Centre Award. The project focuses on machine learning, artificial intelligence, cardiovascular digital twins, and AI-enabled precision treatment. The successful candidate will develop patient-specific models that integrate multimodal clinical, physiological, imaging, and sensor data to predict disease state, treatment response, and the likely consequences of alternative clinical interventions.
The role is based in the Digital Environment Research Institute (DERI) and the Cardiovascular Devices Hub (CVDHub) at Queen Mary University of London. DERI is described as a university research institute focused on multidisciplinary research in digital and data science, including AI, while CVDHub brings together clinicians, academics, engineers, and industry to develop solutions for unmet clinical needs.
Eligibility highlights: applicants should hold a PhD in computer science, engineering, mathematics, or a similar discipline. Strong programming skills are required, along with experience using a modern machine-learning framework such as PyTorch. The post also asks for knowledge of software development principles, machine learning and deep learning experience, and a strong research record including report writing and high-quality publications.
Funding: the position is funded until 31 March 2028 in the first instance and is available immediately.
How to apply: submit the online application through the Applicant Portal and upload a CV. The deadline shown on the post is 11 October 2026.
Funding details
The post is funded by the National Institute for Health and Care Research Barts Biomedical Research Centre and is funded until 31 March 2028 in the first instance. The role is available immediately.
What's required
A PhD in computer science, engineering, mathematics, or a similar field is required. Applicants should have strong programming skills, experience with a contemporary machine-learning framework such as PyTorch, knowledge of software development principles, experience with machine learning including deep learning, and a strong research background with report writing and high-quality publications.
How to apply
Complete the online application form via the Applicant Portal and upload a copy of your CV.
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