Trustworthy Generative AI in Healthcare Scholarship 2027 in UK | Fully Funded

Overview

The Trustworthy Generative AI in Healthcare Scholarship 2027 provides a fully funded PhD studentship at King’s College London. Hosted within the Centre for Oral, Clinical & Translational Sciences in the Faculty of Dentistry, Oral & Craniofacial Sciences, the research focuses on trustworthy generative AI, multimodal large language models, uncertainty-aware artificial intelligence, and 3D medical imaging for clinical environments.

Benefits

Fully funded 3-year full-time PhD studentship.
Home or international tuition fees covered in full.
Stipend provided at the standard UKRI London rate.
Available start dates include 01 February 2027, 01 June 2027, or 01 October 2027.

Eligibility

Open to both UK (Home) and international (Overseas) applicants.
Candidates must hold a bachelor’s degree or higher in Computer Science, Electrical Engineering, Statistics, Mathematics, Physics, or a closely related discipline.
Requires a First Class or good Upper Second Class Honours degree, or an equivalent overseas qualification.
Demonstrated prior research experience and publication records in machine learning, computer vision, natural language processing, or uncertainty quantification.
Desirable backgrounds include training or fine-tuning large language models, vision-language models, or diffusion models, alongside experience handling large-scale datasets.

How to Apply

Interested candidates should complete the following steps to submit their candidacy online:

Register a new user account or log in to the official KCL application portal.
Create a new application file.
Search and select ‘Dental and Health Sciences Research MPhil/PhD (Full-time)’ as the chosen programme, ensuring the correct study mode is set.
Choose an approved start date from the options provided under the entry requirements.
Insert the official project reference number 2026YL-TGAi-R2 into the research proposal section of the application form.

Deadline

The closing date for applications is 30 September 2026.

Overview

Eligibility

Open to both UK (Home) and international (Overseas) applicants.

Candidates must hold a bachelor’s degree or higher in Computer Science, Electrical Engineering, Statistics, Mathematics, Physics, or a closely related discipline.

Requires a First Class or good Upper Second Class Honours degree, or an equivalent overseas qualification.

Demonstrated prior research experience and publication records in machine learning, computer vision, natural language processing, or uncertainty quantification.

Desirable backgrounds include training or fine-tuning large language models, vision-language models, or diffusion models, alongside experience handling large-scale datasets.

How to Apply

Interested candidates should complete the following steps to submit their candidacy online:

Create a new application file.

Search and select ‘Dental and Health Sciences Research MPhil/PhD (Full-time)’ as the chosen programme, ensuring the correct study mode is set.

Choose an approved start date from the options provided under the entry requirements.

Insert the official project reference number 2026YL-TGAi-R2 into the research proposal section of the application form.