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Artificial Intelligence and Data Science for Population Health

   Centre for Intelligent Healthcare

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  Assoc Prof Jiangtao Wang  No more applications being accepted  Funded PhD Project (Students Worldwide)

About the Project

Coventry University (CU) is inviting applications from suitably-qualified graduates for a fully-funded PhD studentship on ‘’AI and Data Science for population health’’, specifically focusing on the problem of predicting risk of diseases through developing machine learning models.

Project details

This PhD project aims to develop novel AI and machine learning models based on multi-source health data. The application of these new models will be used to understand and predict the evolution of multiple chronic diseases. The candidates are expected to have strong programming skills and previous experience on mainstream deep learning models. 

Training and Development

The successful candidate will receive comprehensive research training including technical, personal and professional skills.

All researchers at Coventry University (from PhD to Professor) are part of the Doctoral College and Centre for Research Capability and Development, which provides support with high-quality training and career development activities. 

Entry criteria for applicants to PHD 

·      A minimum of a 2:1 first degree in a relevant discipline/subject area with a minimum 60% mark in the project element or equivalent with a minimum 60% overall module average. 


the potential to engage in innovative research and to complete the PhD within a 3.5 years

·      a minimum of English language proficiency (IELTS overall minimum score of 7.0 with a minimum of 6.5 in each component)

For further details see:

How to apply

To find out more about the project please contact Jiangtao Wang - [Email Address Removed]


To apply on line please visit: 

All applications require full supporting documentation, a covering letter, plus an up to 2000-word supporting statement showing how the applicant’s expertise and interests are relevant to the project. 

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