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The scholarships are funded by UK Research and Innovation (UKRI).

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

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: October 2019

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.

Positions are funded for 4 years, including the placements with the external partners. The CDT will recruit 13 positions in the first cohort and 11 in each of the following 4 cohorts. The first cohort will start in October 2019.

More information, and a description of research projects, can be found at the UKRI CDT in Artificial Intelligence, Machine Learning & Advanced Computing website.

Deadline for applications is 31 May 2019 however applications will be accepted until the positions are filled.

The scholarships are funded by UK Research and Innovation (UKRI).

Eligibility

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. However, each partner institution has a different requirement.

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.

Funding

Each scholarship covers the full cost of UK/EU tuition fees and an annual stipend of £14,750.

Additional funding is available for research expenses.

How to Apply

To apply, please visit the Application section.

For general enquiries, please contact contact Professor Gert Aarts ([email protected] / [email protected]).

Deadline for applications is 31 May 2019 however applications will be accepted until the positions are filled.


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