Meet our supervisors video 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 implement 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. Follow us on LinkedIn Button LinkedIn Follow us on LinkedIn Apply Applications are now open for a PhD start in September 2026.Deadline for first round of applications (all applicants): 11 December 2025.Find out about the CDT recruitment process on the below pages:Eligibility and Entry RequirementsFunding DetailsCDT Company-linked studentshipsSelection Process and TimelineApplication Process and GuidanceApplicant SupportApply Now Programme Explore the CDT Programme's structure and content. People Meet the people who make the CDT: students, supervisors and the management team. Partners The CDT has around 20 formal industry partners and constantly seeks new collaborations. This article was published on 2024-10-29