Publisher
source

Swansea University

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 available

Deadline

December 31, 2026
Country flag

Country

United Kingdom

University

Swansea University

Social connections

How do I apply for this?

Sign in for free to reveal details, requirements, and source links.

Meet Kite AI

Where to contact

Keywords

Computer Science
Data Science
Information Technology
Artificial Intelligence
Natural Language Processing
Data Privacy
Personalized Medicine
Neonatology
Medical Science
Clinical Informatics
Clinical Data
Digitization
Pediatric
Rare Disease
Electronic Health Record
Chronic Illnes
Machine learning

About this position

[Full tuition fees and annual stipend at UKRI rate (£20,780 for 2025-26) for 4 years.]

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.

Ask ApplyKite AI

Start chatting
Can you summarize this position?
What qualifications are required for this position?
How should I prepare my application?