opportunities to contribute both new statistical and machine learning methodology and practical tools for high-impact real-world problems.
The project may focus on topics such as prompt injection detection and the statistical significance of large language model evaluations, or role mining in access graphs with node attributes for large distributed systems. Across either direction, the research will emphasise robust evaluation, anomaly detection, representation learning, and interpretable, statistically grounded methods for complex modern infrastructures. This is a unique opportunity to work at the interface of statistics, machine learning, and cybersecurity, in collaboration with leading academic and industry researchers.
A more detailed project description can be found here.
While StatML admission is currently closed for general studentship, this specific opportunity has arisen and we welcome applications from eligible students.
How to apply. To express interest in this studentship, please email statml.io.admissions@imperial.ac.uk, using the subject line “Meta-funded PhD studentship – [Your Name]” and attaching your CV and degree transcripts. Only shortlisted candidates will subsequently be invited to submit a formal full application to the StatML CDT (including personal statement and academic references).
Expression-of-interest deadline: Friday 11 September 2026, 12:00 noon (UK time). Expressions of interest received after this deadline will not be considered. Interviews are expected to take place during the week commencing 14 September
Funding Notes
This is a fully funded four-year PhD studentship within the StatML CDT. The studentship provides a stipend at the UKRI rate with London weighting, together with a generous Research Training Support Grant (RTSG). The opportunity is open to both Home and Overseas applicants. Further details about funding and the StatML programme are available on the StatML website. Note that the StatML CDT is part of the UK Government’s TechFirst scheme, which offers a stipend top-up of up to £10,000 per year to eligible students with Home fee status.
