Assistant or Associate Professor in Computational Cardiovascular Medicine

About the role:

Imperial College London is recruiting an Assistant or Associate Professor in Computational Cardiovascular Medicine to establish and lead an independent research programme in cardiovascular digital twins, computational modelling, and AI-enabled clinical prediction.

You will join the National Heart and Lung Institute and collaborate with Professor Steven Niederer’s group and clinical partners across Imperial College Healthcare NHS Trust to translate mechanistic cardiovascular modelling into clinical applications.

The National Heart and Lung Institute (NHLI) is already recognised internationally for advancing digital health, and this role will strengthen one of our fastest-growing strategic research areas.  The role will also contribute to the British Heart Foundation Centre of Research Excellence strategy to expand capacity in computational modelling and digital health, strengthen collaboration with the NHS and industry, and accelerate translational innovation.

What you would be doing:

You will help translate digital twin science into improved diagnosis, stratification, therapy planning and drug/device assessment. As an academic lead in cardiovascular digital twins you will support the development of research platforms for applications including ablation planning, heart-failure therapies, and digital-first clinical evaluation.

The role sits within Imperial’s growing ecosystem for cardiovascular digital twins, integrating advanced imaging, physiological measurement, machine learning, and high-performance computational modelling. You will work with cardiology, cardiac electrophysiology, imaging, and biomedical engineering teams to develop clinically actionable computational models for diagnosis, therapy planning, and drug or device evaluation. 

You will develop and lead a research programme in computational cardiovascular medicine aligned with Imperial’s strategy in digital health and in-silico medicine. In addition, you will teach and supervise undergraduate and postgraduate students and foster national and international scientific collaborations with other world-leading centres.

What we are looking for:

• You will develop and lead a research programme in computational cardiovascular medicine aligned with Imperial’s strategy in digital health and in-silico medicine.
• You will foster national and international scientific collaborations with other world-leading centres
• You will teach and supervise undergraduate and postgraduate students.
• You will demonstrate excellent leadership skills with regards to individual performance, academic teams, the NHLI, Faculty, College and when participating in national/international initiatives.

Essential requirements

• PhD in cardiovascular science or related field or equivalent
• Extensive research experience
• Strong skills in digital twin technologies and in-silico medicine
• Consistent portfolio of publications as first and senior/corresponding author
• Experience in preparing grant applications
• Experience in staff supervision
• Experience in training Undergraduate and Postgraduate students
• A proven track record in securing external funding, i.e. fellowships or project grants
• Capacity to produce research that meets international standards of excellence
• Excellent leadership skills with regards to individual performance, academic teams, the NHLI, Faculty, College and when participating in national/international initiatives.

Full information on duties, responsibilities and criteria for both posts can be found in their attached Job Descriptions

Further Information

Salary:

Assistant Professor: £70,718 - £80,148 per annum

Associate Professor: Minimum starting salary of £82,969 per annum

Closing date: 23 April 2026

The post is full-time and open ended, subject to satisfactory academic progress.

Candidates will need to complete the online application to be considered for this role. Should you require any further details on the role please contact, Professor Steven Neiderer, Chair in Biomedical Engineering, email: s.niederer@imperial.ac.uk

If you experience any technical issues while applying online, please don't hesitate to email us at support.jobs@imperial.ac.uk. We're here to help.

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