PhD Studentship: Artificial Intelligence in Enhanced Medical Imaging and Diagnostics

Number of Positions: 1 

School/Faculty: Computer Science 

Closing Date: 03 January 2025 

Eligibility: UK Only 

Funding: School of Computer Science Studentship consisting of the award of fees, together with a tax-free maintenance grant of £19,237 per year for 3.5 years.  

Lead Supervisor’s full name & email address 

Dr Ping Lu: p.lu@leeds.ac.uk  

Project summary 

This research will explore innovative AI methodologies aimed at supporting clinicians in interpreting complex imaging data and generating meaningful diagnostic insights. 

The project will involve leveraging advanced natural language processing and medical image analysis to transform imaging data into clinically relevant information. Additionally, it will explore the use of multimodal fusion techniques to combine data from multiple sources, integrating both visual and textual information to deepen our understanding of patient health. 

This studentship offers a unique opportunity to contribute to cutting-edge research at the intersection of artificial intelligence and healthcare, with the goal of improving diagnostic accuracy and patient outcomes. 

Please state your entry requirements plus any necessary or desired background 

A first class or an upper second class British Bachelors Honours degree (or equivalent) in an appropriate discipline. 

Subject Area 

Medical Imaging, Computer Science & IT, Artificial Intelligence, Machine Learning 

Keywords

Artificial intelligence, biomedical signal processing, computer vision, machine learning, medical imaging analysis

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