Machine learning methods and the systems that enable and use them Machine Learning (ML) and Artificial Intelligence dramatically impact our lives. But ML performance depends on the systems that implements it. Systems research and ML research are symbiotic. Students and staff joining the EPSRC Centre for Doctoral Training in Machine Learning Systems in the University of Edinburgh will collaborate and research on the cutting edge across the full ml-systems stack. We are about machine learning methods that work. We build the right methods and the right ways to deploy things to make ML work for real problems.The CDT in Machine Learning Systems is funded by the EPSRC to recruit and train 5 intakes of about 12 PhD students between 2024 and 2028. The programme is based in the School of Informatics but includes supervisors from other schools including Engineering and Mathematics. It recruits students from a wide range of backgrounds. Partners The CDT has 19 formal industry partners and constantly seeks new collaborations. Apply Applications are now closed for entry in September 2025.It is possible that a second round of applications will open later, for Home students only. If you would like to be kept updated, please leave us your email address via this form. You can find more information about the CDT recruitment process in the meantime by browsing the below pages:Eligibility and Entry RequirementsFunding DetailsSelection Process and TimelineApplication Process and GuidanceApply NowApplicant Support Programme Explore the CDT Programme's structure and content. People Meet the people who make the CDT: students, supervisors and the management team. Follow us on LinkedIn This article was published on 2024-10-29
