Centres for Doctoral Training

The University is currently running  - or collaborates as a partner  - in five separate Centres for Doctoral Training (CDTs) designed to support the training and development of the next generation of researchers in digital topics.

EPSRC CDT in Distributed Algorithms

In collaboration with STFC Hartree and through strong partnerships with IBM Research and the Alan Turing Institute, this CDT delivers an innovative data science, AI and machine learning PhD programme to meet the need for highly-trained data scientists.

EPSRC and ESRC Centre for Doctoral Training in Risk and Uncertainty

Partnering with world-renowned local and international industry, this CDT offers students a unique experience based on a 'cohort approach' to learning, with direct industrial involvement and exposure to a wide range of disciplines.

Doctoral Network in Technologies for Healthy Ageing

We're training the next generation of physical scientists and engineers to develop novel technologies and devices to address the challenges faced by older people and our clinical colleagues who work with them. The network is structured around three healthy ageing challenges - prolonging independence, maintaining wellness and accelerating recovery.

Doctoral Network in AI for Future Digital Health

Directed at creating and maintaining a community of AI healthcare professionals that can apply the latest research within AI to Healthcare, each PhD project is co-created in collaboration with a healthcare provider and/or a healthcare commercial partner.

ESRC Centre for Doctoral Training Data Analytics and Society

This CDT provides postgraduate research and training across four Universities – Liverpool, Leeds, Manchester and Sheffield. It will encourage significant advances to bring together social science with methods from computing, mathematics and the natural sciences.

Centre for Doctoral Training for Innovation in Data Intensive Science

The focus of this CDT is to address the data challenges presented by research in astronomy, nuclear, theoretical and particle physics, accelerator science, mathematical and computer science.