image of data

Using future computing systems to move towards a data-driven future.

The EPSRC Centre for Doctoral Training in Distributed Algorithms (CDT) delivers an innovative data science, AI and machine learning PhD programme.

About the CDT

The University of Liverpool in collaboration with STFC Hartree, through strong partnerships with IBM Research, The Alan Turing Institute, and 20+ project partners 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. Meet our students.

Our vision

Working together with our academic and project partners, the CDT’s research will bring about positive societal impact by enabling governmental organisations to better protect the world's population from threats posed by, for example, organised crime. Our research will also drive economic gains 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 research projects. 

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

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

People in a server room

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.

technical image for COVID-19 section

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

Staff Awards 2019 winners

Find out more about the staff from across the University who were recognised at the Staff Awards 2019 ceremony, which took place at World Museum Liverpool.

Utilising novel data streams for Covid-19

PhD student, 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.