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An Innovative Data Science, AI and Machine Learning Research Centre

PhD students, academics and industrialists working together to generate novel solutions to tough data science challenges.

About the CDT

The EPSRC Centre for Doctoral training in Distributed Algorithms (CDT) in collaboration with STFC Hartree, IBM Research, The Alan Turing Institute, and 20+ project partners will train 60 PhD students who will possess the expertise to meet the world's pressing need for highly-trained data scientists.

The Vision

Our vision is that our graduates will become future leaders in Distributed Algorithms meeting the needs of government, academia and industry.

The Mission

To achieve the vision, each PhD student works with a team of academic and project partner supervisors to ensure the research is novel and useful.

Driven by the needs of our industrial and governmental partners, the CDT PhD's explore challenges of: the defence and security sector to better protect the world's population from threats posed by, for example, organised crime; and the manufacturing sector by enhancing industrial organisations’ ability to develop and deliver high-performance products and services through the use of data-driven optimisation and high performance computing efficiency.

Have a look at our current PhD projects.


CDT Director, Professor Simon Maskell says...

Our CDT provides PhD students with the theory and technical experiences that arm them with the understanding and tools needed to excel. 

Back to: Centre for Doctoral Training in Distributed Algorithms

EPSRC Centre for Doctoral Training in Distributed Algorithms

Future leaders in Distributed Algorithms

Visit our Programme page to find out about life as a CDT PhD student.

Become a Partner and Access Facilities and Expertise

Visit our Partner Pages to find out how your organisation can benefit from joining the CDT community.

Recent research project exemplifying Distributed Algorithms

The Year of SMC-Stan

Find out how the CDT and Signal Processing Group is revolutionising data science - Big Hypotheses: work that exemplifies Distributed Algorithms.