King's College London Dental Institute - Trustworthy Generative AI in Healthcare Scholarship 2027 in UK (Fully Funded)

King's College London Dental Institute is currently accepting applications for its Trustworthy Generative AI in Healthcare Scholarship 2027 in UK. Interested applicants are encouraged to click here to learn more about this opportunity and apply for it.

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About King's College London Dental Institute - Trustworthy Generative AI in Healthcare Scholarship

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.

Benefits of King's College London Dental Institute - Trustworthy Generative AI in Healthcare Scholarship

  • 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.

King's College London Dental Institute - Trustworthy Generative AI in Healthcare Scholarship Requirements

  • 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.

Application Date and Process

  • 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.

Application Deadline

30 September, 2026

Opportunity Application

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