Note to prospective students interested in applying for studentship or funding:
Please note there is no route for prospective students to apply directly to the Arts and Humanities Research Council (AHRC) for a studentship. AHRC provides UK universities and consortia of Research Organisations with doctoral training grants to support AHRC-funded studentships. The advertisement of opportunities and recruitment of studentships is managed by the Doctoral Training Partnership (DTP), Centre for Doctoral Training (CDT) or Collaborative Doctoral Partnership (CDP). Any students interested in AHRC-funded doctoral studentships should contact the research organisation,university or consortium at which they wish to study directly to obtain information on how to apply and eligibility.
Centres for Doctoral Training (CDT) are block grants made to consortia of research organisations (ROs), providing funding for five cohorts of students. They complement the Doctoral Training Partnerships (DTP) and provide further capacity for postgraduate funding in priority areas: Design, Modern Languages and Heritage. They include opportunities for PhD students to undertake broader training or development, such as learning a language, overseas research visits, or placements with non-academic partners.
AHRC also supports the EPSRC Centre for Doctoral Training in Artificial Intelligence and Music (AIM) at Queen Mary, University of London.
AHRC CDT awards have recruited five cohorts of students, commencing from the 2014/15 academic year. They recruited their final cohort of students in the 2018/19 academic year. The CDTs recruited students on an annual basis. AHRC played no part in the assessment and selection of students.
Current CDTs
- London Doctoral Design Consortium (LDOC)
- Northumbria-Sunderland Consortium
- Design Star
- 3D3Research
- AHRC Doctoral Programme in Celtic Languages
- Centre for Doctoral Training in Russian, Slavonic & East European languages and culture (CEELBAS)
- BGP2 Heritage Consortium
- EPSRC Centre for Doctoral Training in Artificial Intelligence and Music (AIM)
Last updated: 5 February 2024