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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. Meet our students.

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 project partner to ensure the research is grounded in real users needs, maximising its impact while also enhancing graduates employability. 

Driven by the needs of our industrial and governmental partners who have so far committed £3.7m of cash and in-kind funding, 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.

Have a look at our current PhD projects.

The CDT is funded by Engineering and Physical Sciences Research Council (EPSRC), the University of Liverpool and our project partners.

Back to: Centre for Doctoral Training in Distributed Algorithms

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

CDT PhD Student Gets Involved in the Fight Against Covid-19

Matthew Carter utilised novel data streams, data science and machine learning to help in the fight against COVID-19. Read his blog to discover how, here.

 

Recent research project exemplifying Distributed Algorithms

Big Hypotheses: A Fully Parallelised Bayesian Inference Solution

Find out more about the Signal Processing Research Group's challenges, solutions and results with SMC Samplers - work that exemplifies Distributed Algorithms.

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Engineering and Technology

Simon Maskell, a data scientist at the University of Liverpool, discusses his current work on a data system to support the UK government’s response to Covid-19.

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COVID-19 pandemic heatmap

Find out about the researchers helping to develop a heat map to monitor movement during COVID-19 pandemic.

Staff awards lined up

2019 Staff Awards Winners

Find out about the CDT partnership with IBM that was recognised at the 2019 Staff Awards ceremony.