UKRI CDT Scholarships at Swansea University in AI, Machine Learning and Advanced Computing for Phd

  •  Phd
  •  31-Jan-2020
  •   United Kingdom
  • $$  Full cost of UK/EU tuition fees, plus a stipend

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.

Swansea University Information

Swansea University Grants

UKRI CDT Scholarships at Swansea University in AI, Machine Learning and Advanced Computing for Phd Established in 1920, Swansea University is a non-profit public higher education institution located in the suburban setting of the large town of Swansea (population range of 50,000-249,999 inhabitants), Wales. Officially accredited and/or recognized by the Privy Council, Swansea University is a large (uniRank enrollment range: 15,000-19,999 students) coeducational higher education institution. Swansea University offers courses and programs leading to officially recognized higher education degrees such as pre-bachelor degrees (i.e. certificates, diplomas, associate or foundation degrees), bachelor degrees, master degrees, doctorate degrees in several areas of study. See the uniRank degree levels and areas of study matrix below for further details. This 99 years old higher-education institution has a selective admission policy based on entrance examinations and students' past academic record and grades. International applicants are eligible to apply for enrollment.

Eligibility Criteria

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.

Offered Benefits

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

Additional funding is available for training, research and conference expenses.

Application Process

Please visit our website for more information.

Apply Here
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