The EPSRC CDT in Distributed Algorithms delivers an innovative data science, AI and machine learning PhD programme. In collaboration with STFC Hartree and through strong partnerships with IBM Research, The Alan Turing Institute and UC Berkeley’s Masters in Data Science programme, the University will lead the training of 60 future leaders in Distributed Algorithms.
The CDT brings together diverse areas of expertise to train students in the skills and experience that will ensure that they, as tomorrow’s leaders in the theory and application of Distributed Algorithms, will have world-leading expertise to meet the world's pressing need for highly-trained data scientists.
The EPSRC and ESRC CDT in Quantification and Management of Risk & Uncertainty in Complex Systems & Environments is part of the University’s Institute for Risk and Uncertainty. With a wide range of high profile industry partners, both local and international, the 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.
The University’s Doctoral Network in Technologies for Healthy Ageing is 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. It is structured around three healthy ageing challenges - prolonging independence, maintaining wellness and accelerating recovery.
The Doctoral Network in AI for Future Digital Health is directed at creating and maintaining a community of AI health care professionals that can apply the latest research within AI to Health Care. The vision is that of a world-class centre providing high-quality doctoral training within the domain of AI for Future Digital Health.
Each PhD project is co-created in collaboration with a health provider and/or a healthcare commercial partner so that the outcomes of the PhD research will be of immediate benefit. The network provides students with training, culminating in a PhD, in a collaborative environment that includes peer-to-peer and cohort-to-cohort based learning. On completion students will be well-placed to take up rewarding careers within the domain of AI and Digital Health.
The ESRC-funded Data Analytics and Society CDT will provide postgraduate research and training for 52 students across four Universities – Liverpool, Leeds, Manchester and Sheffield.
The CDT will encourage significant advances to bring together social science with methods from computing, mathematics and the natural sciences.
It will focus on promoting the creation and analysis of new longitudinal and streamed data resources for socio-economic investigations, creating new methods, investigating social processes and facilitating interventions.
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