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Kingston University

Kingston University PhD Studentships

Fully Funded PhD in Trustworthy Agentic AI for Clinical Documentation and Electronic Health Records at Kingston University London Kingston University in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

The project is advertised as self-funded, but applicants may be eligible for Kingston University funding opportunities including fully funded PhD studentships, partial PhD studentships, tuition fee studentships, Kingston Alumni PhD Studentships, Race Equality PhD Studentships, UK Government Doctoral Loan, and ESRC Studentships through the SEDarc Doctoral Training Partnership.

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United Kingdom

University

Kingston University

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Coventry University PhD Studentships support doctoral research at Coventry University. Funding can include tuition and a stipend, with benefits varying by specific project.

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Keywords

Computer Science
Machine Learning
Biomedical Engineering
Information Technology
Artificial Intelligence
Software Engineering
Digital Health
Medical Science
Clinical Informatics
Salud Pública
Clinical Documentation
Electronic Health Record
Large Language Models

About this position

Kingston University London is advertising a PhD project in Trustworthy Agentic AI for Clinical Documentation: Safe, Transparent and Human-Centred Electronic Health Records. The project sits in the Faculty of Engineering, Computing and the Environment and focuses on building trustworthy AI systems for healthcare, with emphasis on Artificial Intelligence, Agentic AI, Large Language Models (LLMs), Machine Learning, Clinical Documentation, Electronic Health Records (EHR), Health Informatics, Digital Health, and Software Engineering.

The named supervisor is Dr. Pushpa Kumarapeli at Kingston University. Research enquiries can also be directed to the Faculty Research Student Coordinator at [email protected]. The post is located in Kingston upon Thames, London, United Kingdom.

Entry requirements include a First-Class or Upper Second-Class (2:1) Honours degree or equivalent, with a background in Computer Science, AI, Software Engineering, Data Science, Health Informatics, or a related discipline. English language proficiency is required where applicable.

The project is described as self-funded, but the post notes that applicants may also be eligible for Kingston University funding routes such as fully funded PhD studentships, partial PhD studentships, tuition fee studentships, Kingston Alumni PhD Studentships, Race Equality PhD Studentships, the UK Government Doctoral Loan, and ESRC Studentships through the SEDarc Doctoral Training Partnership.

Applications are accepted throughout the year. Interested candidates should review the official Research Degrees and PhD Studentships pages and contact the supervisor or research student coordinator for next steps.

Funding details

The project is advertised as self-funded, but applicants may be eligible for Kingston University funding opportunities including fully funded PhD studentships, partial PhD studentships, tuition fee studentships, Kingston Alumni PhD Studentships, Race Equality PhD Studentships, UK Government Doctoral Loan, and ESRC Studentships through the SEDarc Doctoral Training Partnership.

What's required

Applicants should hold a First-Class or Upper Second-Class (2:1) Honours degree or equivalent. Suitable backgrounds include Computer Science, AI, Software Engineering, Data Science, Health Informatics, or related disciplines. English language proficiency is required where applicable.

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