Welcome to StatML
A world leading centre for doctoral training, shaping the next generation of researchers in statistics and machine learning.
What is StatML?
The EPSRC Centre for Doctoral Training in Statistics and Machine Learning at Imperial and Oxford (StatML) combines two of the UK’s foremost institutions in the field, with a diverse group of industrial and international partners, to shape the next generation of researchers in statistics and machine learning.
We train future researchers, diverse in their backgrounds and perspectives, to develop novel methodology and theory and create application-specific methods, leading to breakthroughs in real-world problems in science, government, medicine, and industry. Our exciting training programme empowers students with the advanced technical and practical skills required to provide real-world impact, solve critical global challenges and create society-changing technologies.
Doctoral programme
StatML is a four-year, fully funded, cohort-based doctoral training centre, with part-time study options available. Our structured programme equips students with the foundational skills and knowledge needed to conduct impactful, ethical, and responsible research. In addition to advanced training in statistics, machine learning, computing, and communication, students engage in first-year mini-projects that allow them to explore different research areas and shape their PhD journey. This is further enriched by a range of scientific and networking events. Learn more about our programme here.
Admissions
Applications for 2027 are now open
2027 TechExpert Programme
StatML is pleased to be part of 2027 TechExpert Programme, through which we expect to offer stipends of approximately £32,000 for students eligible for home fee status within the 2027 cohort.
The TechExpert Programme aims to strengthen the UK’s innovation pipeline and build a more inclusive, resilient, and high-impact research ecosystem. It will test whether higher stipends make doctoral study a more competitive and financially viable alternative to industry roles, helping retain and upskill talented graduates for future tech careers and supporting pathways back into research.
The programme is delivered by UKRI’s Engineering and Physical Sciences Research Council (EPSRC), with the Biotechnology and Biological Sciences Research Council (BBSRC) and Natural Environment Research Council (NERC), on behalf of the Department for Science, Innovation and Technology (DSIT).
Do you have questions about StatML admissions? Join one of our upcoming online Q&A sessions with directors and current students:
Q&A Session 1
Tuesday 3rd November 2026
09:00 GMT
With Prof François Caron, Department of Statistics, University of Oxford
Register here
Q&A Session 2
Thursday 26th November 2026
12:00 GMT
With Prof Ed Cohen, Department of Mathematics, Imperial College London
Register here
Q&A Session 3
Tuesday 15th December 2026
16:00 GMT
With Dr Ciara Pike-Burke, Department of Mathematics, Imperial College London
Register here
Our students
Discover the breadth of background and research interests of our cohorts by exploring our students’ page.
Kianoosh Ashouritaklimi
2023
University of Oxford
Leo Zhang
2023
University of Oxford
Joe Benton
2021
University of Oxford
Susanna Paoli
2025
Imperial College London
Read our latest news on LinkedIn
https://uk.linkedin.com/company/statmlio
Industry & academic partners
StatML has an extensive network of partners across a number of technology sectors and academia to support students and offer additional value to the CDT via internships, placements and studentships.