Fellowship Scholarship

STaR-AI: King's Prize Doctoral Programme in Safe, Trusted and Responsible Artificial Intelligence

King's College London
Award GBP 23.4K–23.4K ≈ €27.4K
Closing date Closed
Location GB
For Individuals

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.
48 - 49 mo
4 awards

Who can apply

Applicant Types

individual

Citizenship

🇬🇧 United Kingdom

Residency

🇬🇧 United Kingdom

Project Locations

🇬🇧 United Kingdom

Region

United Kingdom

Priority Groups

women_in_stem, racial_minorities, disabled, low_income

How to apply

Stages

  1. 1 single_stage

Required documents

cv · research_proposal · transcripts

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