UKRI Centre for Doctoral Training in Artificial Intelligence, Machine Learning & Advanced Computing

Application procedure for projects based at Swansea University

To apply, please email your application to cdt-aimlac @ Your application must include the following attachments in pdf form:
  1. CV
  2. Degree certificates and transcripts (if you are still an undergraduate, provide a transcript of results known to date)
  3. A statement no longer than 2 pages of A4 in length that explains why you want to join our Centre. You should outline the sorts of AI and big data challenges you are interested in, which of the research themes (T1, T2, T3) has your prime interest and what area of research is most appealing to you (theoretical particle physics and cosmology, computational science, medical science, mathematical science, interdisciplinary research). You do not need to specify a detailed research plan at this time though as this will be shaped during the first year.
  4. Completed Scholarship Application Form (Science) or Scholarship Application Form (Medicine)
  5. Academic references - all scholarship applications require two supporting references to be submitted. Please ensure that your chosen referees are aware of the funding deadline (to be determined), as their references form a vital part of the evaluation process. Please either include these with your scholarship application or ask your referees to send them directly to cdt-aimlac @
You should have an aptitude and ability in computational thinking and methods (as evidenced by a degree in physics and astronomy, medical science, computer science, or mathematics, for instance) including the ability to write software. The minimum entry requirement is a 2.1 undergraduate degree.

IELTS: If applicable, a minimum overall IELTS score of 6.5 with no less than 6.0 in any individual component (or Swansea University recognised equivalent) is required. For details on the University's English Language entry policy, please visit Swansea University English Language Requirements.