At a Glance
- Tasks: Lead groundbreaking research in cardiovascular digital twins and AI-enabled clinical prediction.
- Company: Join Imperial College London, a leader in digital health and innovation.
- Benefits: Enjoy a competitive salary, 41 days off, and tailored career development.
- Why this job: Make a real impact in healthcare with cutting-edge technology and research.
- Qualifications: PhD in cardiovascular science or related field with extensive research experience.
- Other info: Collaborate with top experts and contribute to national and international scientific initiatives.
The predicted salary is between 82969 - 82969 £ per year.
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:
- 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.
What we can offer you:
- Grow in your career with tailored training programmes for staff including dedicated support with navigating your career and managing research as well as a transparent promotion process.
- Sector-leading salary and remuneration package (including 41 days off a year and generous pension schemes).
- Be part of a diverse, inclusive, and collaborative work culture with various staff networks and resources designed to support your personal and professional wellbeing.
Please see our Further Particulars for more information about the College and the benefits available to staff.
Further information:
- Associate Professor: Minimum starting salary of £82,969 per annum.
- Closing date: 23 April 2026, 23:59 hours (Midnight BST).
- 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.
Assistant or Associate Professor in Computational Cardiovascular Medicine employer: Imperial College London
Contact Detail:
Imperial College London Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Assistant or Associate Professor in Computational Cardiovascular Medicine
✨Tip Number 1
Network like a pro! Reach out to colleagues, attend conferences, and engage with professionals in cardiovascular medicine. Building connections can lead to opportunities that aren’t advertised.
✨Tip Number 2
Show off your expertise! Prepare a presentation or a talk about your research in computational cardiovascular medicine. This not only showcases your knowledge but also gets you noticed by potential collaborators.
✨Tip Number 3
Don’t just apply, engage! When you apply through our website, follow up with a friendly email expressing your enthusiasm for the role. It shows initiative and keeps you on their radar.
✨Tip Number 4
Stay updated on trends! Keep an eye on the latest advancements in digital health and AI in cardiovascular medicine. Being informed will help you during interviews and discussions with potential employers.
We think you need these skills to ace Assistant or Associate Professor in Computational Cardiovascular Medicine
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in computational cardiovascular medicine. We want to see how your skills align with our focus on digital twins and AI-enabled clinical prediction.
Showcase Your Research: Include a solid portfolio of your publications, especially those where you were the first or corresponding author. This is your chance to shine, so let us know about your contributions to the field!
Highlight Collaboration Experience: Since this role involves working with various teams, emphasise any past collaborations you've had with clinical partners or interdisciplinary groups. We love seeing how you can work well with others!
Apply Through Our Website: Don’t forget to submit your application through our official website. It’s the best way for us to receive your details and ensure you’re considered for this exciting opportunity!
How to prepare for a job interview at Imperial College London
✨Know Your Research Inside Out
Make sure you can discuss your research in computational cardiovascular medicine fluently. Be prepared to explain how your work aligns with the role's focus on digital twins and AI-enabled clinical prediction. This shows your passion and expertise, which is crucial for impressing the interview panel.
✨Showcase Collaboration Skills
Highlight your experience working with multidisciplinary teams, especially in areas like cardiology and biomedical engineering. Prepare examples of past collaborations that led to successful outcomes, as this role involves working closely with various clinical partners.
✨Prepare for Grant Application Questions
Since securing external funding is a key part of the role, be ready to discuss your experience with grant applications. Share specific examples of successful grants you've written or contributed to, and how you plan to approach funding opportunities at Imperial.
✨Engage with Teaching Experience
As teaching and supervising students is part of the job, come prepared to discuss your teaching philosophy and any innovative methods you've used. Think about how you can contribute to the educational mission of the National Heart and Lung Institute and inspire the next generation of researchers.