Research Associate

2 weeks ago

Hammersmith, United Kingdom Imperial College London Full time

**Developing AI-ECG models for cardiovascular risk and mortality prediction**

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:
**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 multidisciplinary 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.-
**Documents**:

- JD - Research Associate - RS.pdf

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