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 2023 cohort is now closed.
Training
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.Research
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)