PhD Studentship in Artificial Intelligence (SCI203)

Job title:

PhD Studentship in Artificial Intelligence (SCI203)

Company

University of Nottingham

Job description

The Faculty of Science AI Doctoral Training Centre (DTC) invites applications from Home students for fully-funded PhD studentships to carry out multidisciplinary research in the world-transforming field of Artificial Intelligence, commencing 1st October 2025. The studentships will have a duration of 42 months (3.5 years), with an annual stipend at the UKRI rate (currently £20,780) and £3000 p.a. Research Training Support Grant.The Faculty of Science AI DTC is an initiative by the University of Nottingham to train future researchers and leaders to address the most pressing challenges of the 21st Century through foundational and applied AI research on a cohort basis. The training and supervision will be delivered by a team of outstanding scholars from different disciplines cutting across Arts, Engineering, Medicine and Health Sciences, Science and Social Sciences.The University of Nottingham Faculty of Science AI DTC offers the opportunity to:

• Choose from a wide choice of AI-related multidisciplinary research projects available, working with world-class academic experts in their fields;

• Benefit from a fully-funded PhD with an attractive annual tax-free stipend;

• Join a multidisciplinary cohort to benefit from peer-to-peer learning and transferable skills development.

For full information about the programme, the research projects available and how to apply, please visit: http://nottingham.ac.uk/ComputerScience/Studywithus/Postgraduateresearch/NottinghamDTCinAI.aspxEntry Requirements:2:1 Bachelor or Masters degree or international equivalent in a related disciplineApplication Process:Applications to be informally made direct to the division/supervisor first.Post interview, application to be made through the MyNottingham system stating the supervisor name and project title.Contact: ps-cs-pgr@exmail.nottingham.ac.uk or directly to a supervisor.

Expected salary

Location

United Kingdom

Job date

Sun, 23 Mar 2025 03:55:09 GMT

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