UKRI Centre for Doctoral Training in Artificial Intelligence, Machine Learning & Advanced Computing
Research projects
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)
The recruitment cycle for the 2023 cohort is now closed.
How to apply is explained on the Application page.
Research projects
The available research projects can be found here HERE.
Research contacts
In order to discuss a PhD position/project at one of the partner universities, please contact:T1: data from large science facilities
- Astronomy/Cosmology: Dr Zoe Leinhardt, Prof Malcolm Bremer (Bristol), Prof Stephen Fairhurst (Cardiff)
- Experimental Particle Physics: Dr Henning Flaecher (Bristol)
- Theoretical Particle Physics/Physics: Prof Gert Aarts (Swansea), Prof Biagio Lucini (Swansea)
T2: biological, health and clinical sciences
- Medical imaging: Prof Reyer Zwiggelaar (Aberystwyth)
- Genomics, bioinformatics: Dr Tom Connor (Cardiff), Prof Sinead Brophy, Prof Steve Conlan (Swansea)
T3: novel mathematical, physical, and computer science approaches
- Computer science: Prof Reyer Zwiggelaar (Aberystwyth) Prof Jonathan Roberts (Bangor), Prof Roger Whitaker (Cardiff)
- Mathematics, computational science: Prof Biagio Lucini (Swansea)
Example research projects from previous years can be found here (2022 cohort), here (2021 cohort), here (2020 cohort) and here (2019 cohort).