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PhD Studentship Opportunity in ‘From data to diagnosis’: Identification of patients with atrial fibrillation using computational analysis of sinus rhythm electrocardiograms

Faculty of Health & Medical Sciences

Guildford United Kingdom Biomedical Engineering Biophysics Data Analysis Epidemiology Medical Physics Computer Science Medicine Physics

About the Project

UK prevalence of atrial fibrillation (AF), the most common treatable form of cardiac rhythm disorder seen in clinical practice is expected to rise with the increase in the ageing population. In addition, risk factors for AF, such as hypertension and obesity are expected to increase globally. Importantly, the prevalence of AF is likely underestimated as a large proportion remain undiagnosed due to the transient (paroxysmal) nature of this abnormality. AF can have major consequences if undetected (such as strokes). Our project is based on using several novel computational algorithms on electrocardiographic (ECG) signals to find visually non-discernible differences. We will explore combining the information from the different algorithms to increase the accuracy of the predictions. This project will create a framework that can facilitate accurate and rapid diagnosis of patients and be a stepping stone towards an automated, low cost and reliable screening method for AF and other cardiovascular diseases.

This is a three year project, commencing in April 2021.

Entry requirements:
• MSc degree or European equivalent degree in a relevant scientific or biomedical discipline (candidates with a medical or veterinary medicine degree need not have an MSc)
• Excellent communication and organisational skills
• Ability to work independently and as part of a team
• Experience with basic molecular techniques
• Previous research publication track record
• Good Clinical Practice (GCP) certified

IELTS: How to apply: 7.0 overall with 6.5 in each band

How to apply:
Applications should be submitted through the PhD Biosciences and Medicine course page: Please clearly state the studentship title and supervisor on your application. Applicants are advised to contact the primary supervisor Kamalan Jeevaratnam, , for informal enquiries before applying for the studentship.

Funding Notes

UK/EU tuition fees are covered with a stipend at UKRI rates (currently £15,285 per annum).

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