Application of Artificial Intelligence techniques for analysis of cardiovascular conditions
Closing date: 13 October 2023 or until places have been filled
Whilst the proportion of deaths related to heart and circulatory diseases has steadily reduced from around 50% of all deaths in the United Kingdom in the 1960s to around 25% in 2023 (British Heart Foundation UK Factsheet 2023), cardiovascular disease remains as one of the lead causes of death in the United Kingdom and the world. A significant amount of data related to the conditions of the heart can be collected, from the traditional electrocardiograms to imaging (computed tomography or magnetic resonance imaging) to genomic and clinical data, which poses a challenge for the analysis. These present a great opportunity for the novel field of artificial intelligence.
This PhD will investigate the application of Artificial Intelligence techniques for analysis of cardiovascular conditions. The project will be a collaboration between the School of Science and Technology at City, University of London where the student will be based, with the Research Section for Cardiology at St George’s, University of London and St George's Hospital, London.
Conditions
The School of Science and Technology scholarships to do a PhD at the Artificial Intelligence Research Centre, CitAI. Each studentship is for three years and will provide an annual tax-free stipend of £21,000 and 50% reduction of tuition fees (Home: 6,360 pa; Overseas 19,100 pa).
An additional £4,000 per year is allocated for travel, publications and conference expenses.
An extra salary supplement of £1,500 per year will be offered to all successful candidates from underrepresented communities. In particular, the stipend supplement will be reserved for female, LGBTQ+ and disabled applicants.
Each student may also have the opportunity to earn around £2,200 per year on average (maximum of around £4,300 per year) through a teaching assistantship.
Applicants whose mother tongue is not English must meet any one or a combination of the following:
- A minimum IELTS average score of 6.5, with a minimum of 6.0 in each of the four components.
- The award of a master's degree, the teaching of which was in English from an English-speaking country.
Eligibility and requirements
The studentship will be awarded based on outstanding academic achievement and the potential to produce cutting edge research. Prospective applicants must:
- The candidate should hold a good honours degree (normally no less than a second-class honours degree or an equivalent qualification) in an appropriate subject (including computer science, engineering, physics). A master’s degree in a related area would be an advantage.
- They should demonstrate aptitude for original research and understand well artificial intelligence, deep learning, signal and image processing, computer vision, numerical algorithms and statistics.
- Knowledge of cardiovascular data (ECG, CT, MRI, etc.) is not necessary but would be advantageous.
How to Apply
Applicants are welcome to discuss their application in advance with Prof. Eduardo Alonso, at E.Alonso@city.ac.uk or Dr. Carlos Reyes Aldasoro, at Constantino-Carlos.Reyes-Aldasoro@city.ac.uk.
If you wish to apply, you can do it here
The PhD application form requires candidates to attach a research proposal. Applicants to this studentship do not need to do so. Instead, they should enter the title of the research project: Application of Artificial Intelligence techniques for analysis of cardiovascular conditions. The entry point will be in February 2024 or later.