Publisher
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Imperial College London

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Fully Funded PhD in Statistical Machine Learning and Cybersecurity at Imperial College London Imperial College London in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Fully funded four-year PhD studentship within the StatML CDT. Provides a stipend at the UKRI rate with London weighting plus a generous Research Training Support Grant (RTSG). Open to Home and Overseas applicants. Eligible Home fee-status students may receive a TechFirst stipend top-up of up to £10,000 per year.

Deadline

Sep 11, 2026

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Country

United Kingdom

University

Imperial College London

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Keywords

Computer Science
Information Technology
Mathematics
Cybersecurity
Anomaly Detection
Statistics
Large Language Models
ML

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About this position

Imperial College London is advertising a fully funded PhD studentship in the StatML CDT, funded by Meta, in the Department of Mathematics.

The project sits at the intersection of statistics, machine learning, and cybersecurity. The research will develop statistically principled methods for evaluating and improving modern AI systems, with possible directions including prompt injection detection, the statistical significance of large language model evaluations, and role mining in access graphs for large distributed systems.

The post emphasises robust evaluation, anomaly detection, representation learning, and interpretable methods for complex modern infrastructures. It is a strong fit for students interested in methodological AI research with practical security applications and collaboration with both academic and industry researchers.

Funding: fully funded for four years, with a stipend at the UKRI rate plus London weighting and a generous RTSG. The opportunity is open to both Home and Overseas applicants. The StatML CDT is also part of the UK Government’s TechFirst scheme, which may provide an additional stipend top-up of up to £10,000 per year for eligible Home fee-status students.

How to apply: send an expression of interest by email to [email protected] with the subject line “Meta-funded PhD studentship – [Your Name]”. Include your CV and degree transcripts. Shortlisted candidates will then be invited to submit the formal StatML CDT application.

Deadline: expression of interest by 11 September 2026, 12:00 noon UK time.

Funding details

Fully funded four-year PhD studentship within the StatML CDT. Provides a stipend at the UKRI rate with London weighting plus a generous Research Training Support Grant (RTSG). Open to Home and Overseas applicants. Eligible Home fee-status students may receive a TechFirst stipend top-up of up to £10,000 per year.

What's required

Applicants must be eligible students for the StatML CDT PhD studentship. The post asks for a CV and degree transcripts at the expression-of-interest stage, and shortlisted candidates will later submit a full application including a personal statement and academic references. The opportunity is open to both Home and Overseas applicants.

How to apply

Email [email protected] with the subject line “Meta-funded PhD studentship – [Your Name]”. Attach your CV and degree transcripts. Shortlisted candidates will then be invited to submit a formal full application to the StatML CDT.

More information can be found here

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