Researcher in Computer Sciences (University of Nottingham)

Institution: University of Nottingham – Faculty of Science AI Doctoral Training Centre Location: UK Reference: SCI3058 Closing Date: Sunday, 19 April 2026 Start Date: 1st October 2026 Duration: 42 months Funding: Fully funded with annual UKRI tax-free stipend (£21,805) – Home students only Programme Overview The AI Doctoral Training Centre (DTC) at the University of Nottingham trains future leaders in foundational and applied AI research through a multidisciplinary cohort-based approach. PhD studentships offer: Choice of AI-related multidisciplinary research projects across Arts, Engineering, Medicine & Health Sciences, Science, and Social Sciences. Fully-funded PhD with tax-free stipend. Participation in a cohort-based program, providing peer-to-peer learning and transferable skills development. Supervision by world-class academic experts in AI and related disciplines. Entry Requirements Normally a 2:1 Bachelor or Master’s degree (or international equivalent) in a relevant discipline. Admission is subject to University requirements. Application Process Informal application directly to the division or supervisor of the chosen project. Post-interview formal application via the MyNottingham system, specifying supervisor name and project title. Inquiries: ps-cs-pgr@exmail.nottingham.ac.uk or contact the supervisor directly. This PhD is ideal for students wanting to work at the intersection of AI and multidisciplinary research, in a fully-funded, cohort-based training environment. If you apply for this position please say you saw it on Computeroxy

Institution: University of Nottingham – Faculty of Science AI Doctoral Training Centre
Location: UK
Reference: SCI3058
Closing Date: Sunday, 19 April 2026
Start Date: 1st October 2026
Duration: 42 months
Funding: Fully funded with annual UKRI tax-free stipend (£21,805) – Home students only

Programme Overview

The AI Doctoral Training Centre (DTC) at the University of Nottingham trains future leaders in foundational and applied AI research through a multidisciplinary cohort-based approach.

PhD studentships offer:

Choice of AI-related multidisciplinary research projects across Arts, Engineering, Medicine & Health Sciences, Science, and Social Sciences.
Fully-funded PhD with tax-free stipend.
Participation in a cohort-based program, providing peer-to-peer learning and transferable skills development.
Supervision by world-class academic experts in AI and related disciplines.

Entry Requirements

Normally a 2:1 Bachelor or Master’s degree (or international equivalent) in a relevant discipline.
Admission is subject to University requirements.

Application Process

Informal application directly to the division or supervisor of the chosen project.
Post-interview formal application via the MyNottingham system, specifying supervisor name and project title.
Inquiries: ps-cs-pgr@exmail.nottingham.ac.uk or contact the supervisor directly.

This PhD is ideal for students wanting to work at the intersection of AI and multidisciplinary research, in a fully-funded, cohort-based training environment.

If you apply for this position please say you saw it on Computeroxy

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