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

The UKRI CDT in Artificial Intelligence, Machine Learning and Advanced Computing provides 4-year, fully funded PhD opportunities across the broad areas of particle physics and astronomy, biological and health, and mathematical and computer sciences. Training in AI, high-performance computing (HPC) and high-performance data analytics (HPDA) plays an essential role, as does engagement with external partners, which include large international companies, locally based start-ups and SMEs, and government and Research Council partners.

The CDT is built upon longstanding research and training collaborations between the universities of Aberystwyth, Bangor, Bristol, Cardiff and Swansea. In addition, Supercomputing Wales and the University Computing Academies provide bespoke support via Research Software Engineers and access to HPC facilities in a coordinated fashion. We work closely together with the STFC CDT on Data-Intensive Science.

The recruitment cycle for the 2021 cohort is now complete.

A limited number of positions is available for international students, including fees and bursaries.


The programme consists of a substantial training component in the first year, including cohort-based training in AI and computational methods, to establish a common base. Engagement with our external partners is embedded throughout and includes a short-term placement in Year 2 and a further 6-month placement across Years 2/3. Transferable skills training is delivered via residential meetings, at our annual CDT conference, and in cooperation with the Alan Turing Institute. More details can be found on the Training and Events pages.


Our doctoral training programme is constructed around three research themes:
  • T1: data from large science facilities (particle physics, astronomy, cosmology)
  • T2: biological, health and clinical sciences (medical imaging, electronic health records, bioinformatics)
  • T3: novel mathematical, physical, and computer science approaches (data, hardware, software, algorithms)
While the themes are diverse as academic disciplines, in our CDT they are linked through the use of AI, machine learning and advanced computing methods. Therefore, a crucial role is played by knowledge exchange across themes via cohort training, joint supervision, peer-to-peer interaction and student mentoring. Research project are embedded within one of the themes, with supervisory support across themes, to develop new synergies. More details can be found on the Research page.

Fully funded PhD positions

Fully funded PhD positions are available for students with a strong interest and aptitude in computational science and in one of our research themes. Positions are funded for 4 years, including the placements with the external partners. Considerable funding is available for training, workshop and conference support, as well as for a laptop and other computational resources. The CDT will recruit 5 cohorts, with a minimum of 11 PhD students per cohort. The first and second cohorts have started in October 2019 and 2020 respectively. For details on how to apply, see the Applications page.