Research Associate

Location: Hammersmith Campus

Job Summary:

Developing AI-ECG models for cardiovascular risk and mortality prediction

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 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 present post is funded by a recently awarded £1.2M 5-year British Heart Foundation Programme Grant focused on developing new artificial intelligence (AI) models to apply to electrophysiological signals, in the form of electrocardiograms (ECG) and intracardiac electrograms (EGM).

Through various collaborators worldwide, we have access to large quantities of digital ECGs (>2 million) recorded in clinical settings, in addition to >40000 digital ECGs from the UK Biobank linked to genetic and phenotypic data, which will allow us to train a range of AI-ECG models. We also have access to a large database of intracardiac EGM data collected during invasive catheter ablation procedures.

The post-doctoral research associate will work with other members of the team to use these datasets to develop new AI-ECG models and AI-EGM models for cardiovascular risk and mortality prediction, and for diagnostic classification tasks, building on our group’s recent publications:

• (1) Predicting atrial tachycardia mechanism from the ECG: https://academic.oup.com/ehjdh/article/3/3/405/6668985
• (2) Predicting body mass index and cardiovascular risk from the ECG:

https://www.cvdigitalhealthjournal.com/article/S2666-6936(21)00119-5/fulltext

• (3) Predicting atrial fibrillation organisation from the ECG: https://www.frontiersin.org/articles/10.3389/fphys.2021.712454/full
• (4) Applying deep learning methods to digitise paper-based ECGs for AI tasks: https://www.nature.com/articles/s41598-022-25284-1

Duties and responsibilities

The Research Associate will develop new AI-ECG models and AI-EGM models for cardiovascular risk and mortality prediction, and for diagnostic classification tasks. The post holder will work closely with the clinicians, biologists, bioengineers and physical scientists within the multi-disciplinary group.

Essential requirements

Research Associate: Hold a PhD (or equivalent) in Machine Learning, Artificial Intelligence, Computer Science, Signal Processing, or a related discipline or a closely related discipline

Research Assistant: Near completion of a PhD (or equivalent) in Machine Learning, Artificial Intelligence, Computer Science, Signal Processing, or a related discipline or a closely related discipline

Experience in computer programming (in particular Python)

Experience with AI research and methodology

Further Information

The post is Full Time and Fixed Term for a duration of 2 years and based at the Hammersmith Campus, London.

Candidates who have not yet been officially awarded their PhD will be appointed as a Research Assistant.

Informal enquiries may be sent to Dr Fu Siong Ng at f.ng@imperial.ac.uk

Closing date: 01 March 2023

To apply, visit www.imperial.ac.uk/jobs and search by the job reference MED03683

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