Federated Learning for Big Healthcare Data Infrastructures PhD opportunity

An exciting new PhD research studentship is available thanks to a collaboration between HDR UK and the University of Nottingham.

The opportunity is for a candidate with an interest in developing and applying federated modelling approaches to big data healthcare problems. An interest in artificial intelligence applied to better care is important.

They will also need to provide a critical appraisal of the potential of the models to underpin the analytics capabilities of federated data architectures.

The project has been developed in response to the need to better understand how to harness the power of federated learning to design and deploy predictive models within HDR UK federated data infrastructures.

The PhD student will work with Philip Quinlan, Professor and Director of Health Informatics, and Dr Grazziela Figueredo, Associate Professor in Health Data Science.

Project objectives

• Systematic review exploring existing literature on federated learning approaches for healthcare data
• Systematic review exploring limitations, opportunities, ethical and privacy concerns regarding the application of federated learning in healthcare
• Development of overarching federated approaches, deployable to multiple domains in healthcare and testing in multiple case studies
• Development of a framework for federated model prediction explainability.

Eligibility

• This opportunity is open to UK students only
• Applicants should hold a 2.1 undergraduate degree and a good masters’ degree in a subject relevant to data science, machine learning and AI focussed on healthcare.

If you have any questions please email Philip Quinlan Philip.Quinlan@nottingham.ac.uk