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The UKRI CDT in Artificial Intelligence, Machine Learning and Advanced Computing

The UKRI CDT in Artificial Intelligence, Machine Learning and Advanced Computing (AIMLAC)

AIMLAC aims at forming the next generation of AI innovators across a broad range of STEMM disciplines. The CDT provides advanced multi-disciplinary training in an inclusive, caring and open environment that nurture each individual student to achieve their full potential. Applications are encouraged from candidates from a diverse background that can positively contribute to the future of our society.

The UK Research and Innovation (UKRI) fully-funded scholarships cover the full cost of tuition fees, a UKRI standard stipend of £17,668 per annum and additional funding for training, research and conference expenses.

The scholarships are open to UK and international candidates.

Subject areas: Biological and Health Sciences; Mathematics and Computer Science; Physics and Astronomy.

Start date: 1st October 2023

The UKRI CDT in Artificial Intelligence, Machine Learning and Advanced Computing provides 4-year, fully funded PhD opportunities across broad 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)

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 partners include: We Predict, ATOS, DSTL, Mobileum, GCHQ, EDF, Amplyfi, DiRAC, Agxio, STFC, NVIDIA, Oracle, QinetiQ, Intel, IBM, Microsoft, Quantum Foundry, Dwr Cymru, 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: cdt-aimlac.org/cdt-research.html

The UKRI CDT in Artificial Intelligence, Machine Learning and Advanced Computing

Eligibility

The typical academic requirement is a minimum of a 2:1 undergraduate degree in biological and health sciences; mathematics and computer science; physics and astronomy 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 (or willingness to learn it).

IELTS – If applicable, a minimum overall IELTS score of 6.5 with no less than 6.0 in any individual component is required.

For more information on eligibility, please visit the UKRI CDT in Artificial Intelligence, Machine Learning & Advanced Computing website: cdt-aimlac.org/


How to Apply

To apply, please visit the CDT website http://cdt-aimlac.org/cdt-apply.html and follow the instructions to apply online.

For general enquiries, please contact Mrs Roz Toft (cdt-aimlac@swansea.ac.uk).

Deadline for applications is 10th February 2023.

The UKRI CDT in Artificial Intelligence, Machine Learning and Advanced Computing

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