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The University of Edinburgh: Centre for Doctoral Training in Machine Learning Systems (PhD with Integrated Study)

Institution The University of Edinburgh View institution profile
Department School of Informatics
Web https://www.ed.ac.uk/studying
Study type Research

Summary

Machine Learning (ML) has a great impact on our daily lives. Developments in ML are built on improved systems that can train and generate increasingly powerful models. Systems design greatly impacts ML performance and capability.

Major advancements are made when ML and systems are developed and optimised together. This is relevant across many industries, such as:

  • in-car systems

  • medical devices

  • mobile phones

  • sensor networks

  • condition monitoring systems

  • high-performance computing

  • the creative industries

  • patient care

  • social networking

  • high-frequency trading

However, PhD training that combines systems and ML is rare, as research training is often separated into individual subdisciplines.

Instead, we need researchers trained in both fields and experienced in working across them. This ML Systems PhD involves training collaborative researchers with experience across systems and ML.

The programme is about machine learning that works to deliver for a need. It involves a holistic view of machine learning and systems that includes both a user-centric approach and an understanding of how to make things work.

PhD with Integrated Study

Edinburgh University

Edinburgh. Extraordinary futures await.

The University of Edinburgh is one of the world's top universities, consistently ranked in the world top 50, and placed 34th in the QS World University Rankings 2026.

Our position as one of Britain’s leading research universities was reaffirmed by the results of the 2021 Research Excellence Framework (REF). The University of Edinburgh is one of the world’s top research-intensive universities, ranked 4th in the UK for research power (Times Higher Education, Overall Ranking of Institutions), with 90% of our research activity classified as world leading or internationally excellent in the 2021 Research …

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