Research Associate in Artificial Intelligence & Machine Learning

Job number MED05632

Faculties Faculty of Medicine

Departments National Heart & Lung Institute

Salary or Salary range £49,017 - £55,144 per annum

Location/campus Hammersmith Campus - On site only

Contract type work pattern Full time - Fixed term

Posting End Date 29 Jun 2026 About the role

Applications are invited for the position of post-doctoral research associate, to work at the National Heart and Lung Institute, Imperial College London. We are a multi-disciplinary team consisting of researchers with strong backgrounds in clinical cardiology, cardiac electrophysiology, basic science, as well as AI, mathematical, engineering expertise. We are seeking a highly motivated post-doctoral research associate to join a collaborative team of clinicians, basic scientists, and physical scientists working on cardiovascular research. The post holder will apply signal processing and AI methodology to ECGs and 2-week single-lead ECG patch data, to predict a range of cardiovascular outcomes.

The present post is funded by an EU Innovation Health Initiative (IHI), awarded to a global consortium/collaboration to reduce the burden of atrial fibrillation and advance its quantification and treatment. The work at Imperial College London is led by Professors Barbara Casadei, Fu Siong Ng and Steven Niedere

What you would be doing

You will apply signal processing and AI methodology to ECGs and 2-week single-lead ECG patch data, to predict a range of cardiovascular outcomes. You will work closely with the clinicians, biologists, bioengineers and physical scientists within the multi-disciplinary group

What we are looking for

• You should have a PhD (or submitted a PhD and awaiting viva), or an equivalent qualification, industrial or commercial experience, in a computational discipline.

• Candidates who have not yet been officially awarded their PhD will be appointed as a Research Assistant within the salary range £43,863 - £47,223 per annum.

• Experience in computer programming (particularly Python), is essential, and previous experience with AI research is highly desirable.

• A background in cardiovascular research is also desirable.

• You should also have a collaborative approach to research as this role requires working with other groups both within and outside the department.

What we can offer you

The opportunity to continue your career at a world-leading institution and be part of our mission to continue science for humanity.

• Grow your career: gain access to Imperial’s sector-leading dedicated career support for researchers as well as opportunities for promotion and progression.
• 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 to support your personal and professional wellbeing.

Further information

The post is full-time fixed term for a duration of 2 year and based at the Hammersmith Campus, with the possibility of extension.

Informal enquiries may be sent to Prof Fu Siong Ng (f.ng@imperial.ac.uk)

Available documents

Attached documents are available under links. Clicking a document link will initialize its download.

Please note that job descriptions are not exhaustive, and you may be asked to take on additional duties that align with the key responsibilities mentioned above.

We reserve the right to close the advert prior to the closing date stated should we receive a high volume of applications. It is therefore advisable that you submit your application as early as possible to avoid disappointment.

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About Imperial

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Our Culture

We work towards equality of opportunity, to eliminating discrimination, and to creating an inclusive working environment for all. We encourage applications from all backgrounds, communities and industries, and are committed to employing a team that has diverse skills, experiences and abilities. You can read more about our commitment on our webpages.

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