Swansea University
3 months ago
PhD Studentship: Artificial Intelligence for Paediatric Healthcare – Digitising Healthcare Records Using Natural Language Processing Swansea University in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
Full funding availableDeadline
December 31, 2026Country
United Kingdom
University
Swansea University

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About this position
This fully funded PhD studentship at Swansea University offers an exciting opportunity to advance paediatric healthcare through artificial intelligence and data science. The project addresses a critical challenge in Wales: the lack of AI-ready electronic health records (EHR) for paediatric patients, with most records currently handwritten and unstructured. By leveraging natural language processing (NLP) and machine learning (ML), the research aims to digitise these records, creating structured datasets that will enable innovative AI applications in paediatric care.
Key research areas include rare diseases, neonatal care, and chronic conditions, all of which are under-researched due to data limitations. The project will use a human-in-the-loop (HITL) approach, ensuring that clinical expertise guides the development of AI models for greater accuracy and trustworthiness. Ethical considerations, such as data privacy and collaboration with hospital ethics boards, are central to the research, ensuring responsible and impactful outcomes.
The successful candidate will join a dynamic research environment at Swansea University, working closely with experts in computer science, healthcare informatics, and clinical practice. The studentship provides full funding, including tuition fees and a generous annual stipend of £20,780 (UKRI rate for 2025-26), for four years. This support enables the student to focus on research and professional development, with opportunities to upskill in relevant domains as needed.
Applicants should have a background in machine learning or data science and demonstrate high motivation for learning and adapting to project requirements. The position is ideal for those passionate about applying advanced computational techniques to real-world healthcare challenges and making a tangible impact on paediatric medicine.
The application deadline is 2 February 2026. Interested candidates should apply online via the Swansea University scholarship portal, ensuring all supporting documents highlight relevant experience and motivation. For more details and to access the application form, visit the official scholarship page.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
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