Computer Science: Artificial Intelligence for Paediatric Healthcare: Fully Funded PhD Studentsh[...]

Swansea University; United Kingdom; On-site; GBP 21,000; Full time

Job summary

A prominent UK university is offering a PhD position aimed at transforming paediatric healthcare through artificial intelligence. The successful candidate will work on digitizing critical healthcare data using machine learning and natural language processing. This position is fully-funded through the Swansea University International Postgraduate Research Excellence Scholarship, covering tuition fees and an annual stipend. Candidates should have a strong background in Computer Science or related fields and be motivated to fill knowledge gaps in this essential project.

Benefits

Fully funded scholarship

Annual stipend at UKRI rate

Additional research expenses

Qualifications

• Background in one of the Machine Learning or Data Science domains.
• Motivation for upskilling and filling knowledge gaps.

Responsibilities

• Transform paediatric healthcare through AI.
• Digitise healthcare records using NLP and ML.
• Ensure ethical considerations and clinical guidance.

Skills

Machine Learning

Data Science

Education

Undergraduate degree at 2.1 level in Computer Science, Mathematics or a closely related discipline

Master’s degree with a minimum overall grade at ‘Merit’

Job description

Organisation/Company Swansea University Department Central Research Field Computer science Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country United Kingdom Application Deadline 2 Feb 2026 - 23:59 (Europe/London) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Apr 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

This PhD project aims to transform paediatric healthcare by addressing critical data and research gaps through advanced artificial intelligence (AI). Despite its importance, paediatrichealthcareremainsunder-researched, particularly in areas like rare diseases, neonatal care, and chronic conditions.A major barrieristhe lack of AI-ready data due to a lack of electronic health records (EHR) in Wales, meaning most paediatric records are handwritten and unstructured

The project will prioritise digitising these records using natural language processing (NLP) and machine learning (ML) to create structured datasets. These will support AI applications in paediatriccare,enabling early detection of conditions and personalised treatment planning.

A human-in-the-loop (HITL) approach will ensure clinicalexpertiseguides model development, improving accuracy and trust. Ethical considerations, including data privacy and collaboration with hospital ethics boards, are central to the project.Ultimately, thisresearchseeksto produce AI-ready data creation techniques that will helpestablishscalable, globally relevant AI solutions and elevate paediatric healthcare to the standards seen in adult medicine.

Theidealcandidate should have background in one of the Machine Learning or Data Science domains with high motivation for upskilling and filling any gaps in their knowledge based on the requirements of the project at theearly stagesof the study.

Note for international and European applicants:details of how your qualification compares to the published academic entry requirements can be found on our Country Specific Entry Requirements page.

Please note that the programme requires some applicants to hold ATAS clearance, further details on ATAS scheme eligibility are available on the UK Government website .

ATAS clearanceIS NOT required tobe held as part of the scholarship application process. Successful award winners (asappropriate)are provided with details as to how to apply for ATAS clearance in tandem with a scholarship course offer.

Specific Requirements

International Students –Fullyfundedif the applicantissuccessful in being offered a SUIPRES Scholarship as outlined below.

Swansea University is pleased to offer the Swansea University International Postgraduate Research Excellence Scholarship (SUIPRES). This is a competitively awarded Scholarship open to overseas PhD and Professional Doctorate applicants eligible for the international rate of tuition fees who candemonstrateexcellence in academic achievement.

The SUIPRES Scholarship covers the difference between the International and the Home tuition fee for the duration of the PhD/Professional Doctorate programme. Successful candidates will be charged fees aligned to the UK rate per year.The scholarship will be offset against your tuition fee liability

All International applications will be considered for a SUIPRES Scholarship. You will be informed whether a SUIPRES Scholarship will be offered within your offer letter.

PhD:Applicants for PhD must hold an undergraduate degree at 2.1 level in Computer Science, Mathematics or a closely related discipline, oran appropriate master’sdegree with a minimum overall grade at ‘Merit’ (or Non-UK equivalent as defined by Swansea University).

Additional Information

This scholarship covers the full cost of tuition fees and an annual stipend at UKRI rate(currently £20,780 for 2025-26)for 4 years.

Additionalresearch expenses of up to£1,000per annumwill also be available.

Eligibility criteria

International Students –Fullyfundedif the applicantissuccessful in being offered a SUIPRES Scholarship as outlined below.

Swansea University is pleased to offer the Swansea University International Postgraduate Research Excellence Scholarship (SUIPRES). This is a competitively awarded Scholarship open to overseas PhD and Professional Doctorate applicants eligible for the international rate of tuition fees who candemonstrateexcellence in academic achievement.

The SUIPRES Scholarship covers the difference between the International and the Home tuition fee for the duration of the PhD/Professional Doctorate programme. Successful candidates will be charged fees aligned to the UK rate per year.The scholarship will be offset against your tuition fee liability

All International applications will be considered for a SUIPRES Scholarship. You will be informed whether a SUIPRES Scholarship will be offered within your offer letter.

PhD:Applicants for PhD must hold an undergraduate degree at 2.1 level in Computer Science, Mathematics or a closely related discipline, oran appropriate master’sdegree with a minimum overall grade at ‘Merit’ (or Non-UK equivalent as defined by Swansea University).

Selection process

Please see our website for further information