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# Research Associate in Artificial Intelligence & Machine Learning

- **Company:** Imperial College London
- **Location:** London, UK
- **Salary:** £49,017.0 - £55,144.0
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Computer Programming, Python (Programming Language), Machine Learning, Signal Processing
- **Published:** June 10, 2026
- **Apply:** https://uk.indeed.com/viewjob?jk=041e8bd29238c644

## About the Role

Do you have experience in Python?, Do you have a Doctoral degree?, * 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.

## Description

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., 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


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