Trustworthy Generative AI in Healthcare Scholarship 2027 supports a fully funded PhD studentship in trustworthy generative AI for healthcare, focusing on multimodal large language models, uncertainty-aware AI and 3D medical imaging. The project is open to UK and international applicants and emphasises trustworthiness, calibrated uncertainty, and robustness for clinical settings.
The studentship is offered within the Centre for Oral, Clinical & Translational Sciences in the Faculty of Dentistry, Oral & Craniofacial Sciences at King’s College London. Supervisors named on the project are Dr Yunpeng Li and Dr Yali Du, and successful applicants will have access to resources across King’s including the Department of Informatics.
Trustworthy Generative AI in Healthcare Scholarship Benefits
- One fully funded PhD studentship, open to UK and international applicants, is available in trustworthy generative AI for healthcare.
- Duration: 3 years from either 01 February 2027, 01 June 2027 or 01 October 2027.
- Mode of study: Full-time.
- Fees at the home or international rate will be covered by the funder.
- A stipend will be paid at the UKRI London rate.
Trustworthy Generative AI in Healthcare Scholarship Eligibility Criteria
- Home / Overseas.
- Bachelor’s degree or above in Computer Science, Electrical Engineering, Statistics, Mathematics, Physics or similar. Applicants should have a First Class or good Upper Second Class Honours degree, or the equivalent from an overseas university.
- Previous research experience and publication records in one or more of machine learning, computer vision, natural language processing, or uncertainty quantification.
- Experience of training or fine-tuning large language models, vision language models, or diffusion models, and of working with large-scale datasets, is desirable.
- Interest and motivation in academic research.
- Interest in developing as an independent researcher.
How to Apply for Trustworthy Generative AI in Healthcare Scholarship
- Register a new account/login.
- Once logged in, select Create a new application.
- Enter ‘Dental and Health Sciences Research MPhil/PhD (Full-time)’ under Choose a programme. Please ensure you select the correct mode of study.
- Select a start date from the list under Entry requirements on this webpage.
- Applicants must include the project reference number 2026YL-TGAi-R2 in the ‘Research proposal’ section of the application.
Frequently Asked Questions (FAQs)
Here are the most frequently asked questions about the Generative AI Scholarship. These answers cover eligibility, benefits, deadlines, supervisors, and how to apply based on the official project details.
What is the purpose of this studentship?
The studentship supports a PhD project in Trustworthy Generative AI in Healthcare, focusing on multimodal large language models, uncertainty-aware AI, and 3D medical imaging. The project aims to develop and evaluate models that fuse medical images, video, and tabular clinical data for disease detection, prediction, and decision making.
Who funds the studentship and what costs are covered?
The studentship is funded by the Faculty of Dentistry, Oral & Craniofacial Sciences at King’s College London. Fees at the home or international rate will be covered by the funder, and a stipend will be paid at the UKRI London rate.
Who can apply for this studentship?
The studentship is open to Home and Overseas applicants. Candidates should have a bachelor’s degree or above in relevant subjects and a First Class or good Upper Second Class Honours degree (or equivalent), plus relevant research experience in machine learning or related areas.
What are the eligibility academic requirements?
Applicants should hold a bachelor’s degree or above in Computer Science, Electrical Engineering, Statistics, Mathematics, Physics or similar, with a First Class or good Upper Second Class Honours degree or equivalent. Previous research experience and publications in machine learning, computer vision, NLP, or uncertainty quantification are expected.
What is the duration and mode of study?
The studentship is full-time and has a duration of 3 years. The start date can be 01 February 2027, 01 June 2027 or 01 October 2027, depending on the intake selected.
What is the application deadline?
Applications should be submitted by 11:59pm on Wednesday 30 September 2026. This deadline is stated on the project page for this studentship.
How do I apply for the studentship?
Applicants should apply online at apply.kcl.ac.uk. Steps include registering or logging in, creating a new application, selecting ‘Dental and Health Sciences Research MPhil/PhD (Full-time)’, choosing an appropriate start date, and including the project reference number 2026YL-TGAi-R2 in the research proposal section.
Who are the supervisors for this project?
The named supervisors for the project are Dr Yunpeng Li and Dr Yali Du. The project is based in the Translational AI Research (TAIR) Lab at the Centre for Oral, Clinical & Translational Sciences, Faculty of Dentistry, King’s College London.
What research training will the student receive?
Research training includes statistical machine learning foundations and applications, training and evaluation of multimodal and generative models, uncertainty quantification, research dissemination, and interdisciplinary research and communication, as described on the project page.
Who can I contact for more information?
The project page lists contact details for the supervisors: Dr Yunpeng Li ([email protected]) and Dr Yali Du ([email protected]). Applicants are strongly recommended to contact the supervisors to discuss the project prior to applying.
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