STaR-AI: King's Prize Doctoral Programme in Safe, Trusted and Responsible Artificial Intelligence
£23,383 - £23,383
Mar 02, 2026
United Kingdom
individual
About This Opportunity
The Safe, Trusted & Responsible AI (STaR-AI) King's Prize Doctoral Programme is a multi-disciplinary doctoral training programme in artificial intelligence based at King's College London. The programme brings together leading researchers from across King's College London to train the next generation of experts in responsible AI. It equips graduates to understand the technical challenges of building safe and trustworthy AI, to engage critically with its human and societal implications, and to work confidently across disciplines to ensure AI technologies have positive impact. Building on the success of the UKRI Centre for Doctoral Training in Safe and Trusted AI, STaR-AI is supported by specialists in AI methods, human centred approaches, and legal and ethical frameworks from the Departments of Informatics and Digital Humanities, and the Dickson Poon School of Law. Students will gain both technical and non technical expertise relevant to responsible AI development across sectors, and will be well prepared for diverse careers, including in academia, research and development, and policy. The programme welcomes applicants from a wide range of disciplinary backgrounds with multidisciplinary supervision teams supporting students working on diverse application areas. At least four fully funded studentships for home fee candidates are available for entry in October 2026.
Who Can Apply
- Region
- United Kingdom
- Citizenship
- United Kingdom
- Residency
- United Kingdom
- Project in
- United Kingdom
- Applicants
- individual
- Priority for
- women_in_stem, racial_minorities, disabled, low_income
Application Details
Stages
- 1 single_stage
Required documents
Review process
Competitive review process with projects in competition. Programme aims to recruit at least one student into each participating department (Digital Humanities, Informatics, Law).
Additional benefits
- training
- networking
- travel_support
Restrictions
- geographic_restrictions
External Application
This opportunity requires you to apply directly on the funder's website.
Apply on External SiteAI-Extracted Data
This opportunity was automatically extracted from an external source using AI. Details such as amounts, deadlines, and eligibility may be incomplete or inaccurate.
Always verify on the official sourceKey Information
- Award Amount
- £23,383 - £23,383
- Application Deadline
-
March 02, 2026 at 23:59 UTCDue today!
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