The scholarships are funded by UK Research and Innovation (UKRI).
Subject areas: Physics and astronomy; biological and health sciences; mathematics and computer science
Start date: 1st October 2020
The UKRI CDT in Artificial Intelligence, Machine Learning and Advanced Computing provides 4-year, fully funded PhD opportunities across broad research themes:
Its partner institutions are Swansea University (lead institution), Aberystwyth University, Bangor University, University of Bristol and Cardiff University.
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. Training will be delivered via cohort activities across the partner institutions.
Positions are funded for 4 years, including 6-month placements with the external partners. The CDT will recruit 11 positions in 2020.
The partners include: We Predict, Intel, ATOS, DSTL, GCHQ, IBM, Microsoft, Quantum Foundry, Dwr Cymru, Amplyfi, DiRAC, agxio, NVIDIA, Oracle, QinetiQ, TWI and many more.
More information, and a description of research projects, can be found at the UKRI CDT in Artificial Intelligence, Machine Learning & Advanced Computing website.
The typical academic requirement is a minimum of a 2:1 undergraduate degree in physics and astronomy; biological and health sciences; mathematics and computer science or a relevant discipline.
Candidates should be interested in AI and big data challenges, and in (at least) one of the three research themes. 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.
Due to funding restrictions this scholarship is open to UK/EU candidates only.
For more information on eligibility, please visit the UKRI CDT in Artificial Intelligence, Machine Learning & Advanced Computing website.
Each scholarship covers the full cost of UK tuition fees and a UKRI standard stipend.
Additional funding is available for training, research and conference expenses.
To apply, please visit the CDT website and follow the instructions to apply online.
For general enquiries, please contact Rhian Melita Morris ([email protected]).
Deadline for applications is 31st January 2020 however; applications will be accepted until the positions are filled.