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University of Southampton

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PhD in Risk Management for Robust Machine Learning Operations (MLOps) University of Southampton in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Competition funded PhD project. Funding opportunities are available for UK and international students. Horizon Europe fee waivers automatically cover the difference between overseas and UK fees for qualifying students. Competition-based Presidential Bursaries may cover the difference between overseas and UK fees for top-ranked applicants. Competition-based studentships typically cover UK-level tuition fees and a stipend for living costs for top-ranked applicants. Funding is awarded on a rolling

Deadline

Dec 4, 2026

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Country

United Kingdom

University

University of Southampton

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Keywords

Computer Science
Information Technology
Artificial Intelligence
Cybersecurity
Robustness Analysis
Financial Risk Management
ML

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About this position

PhD opportunity in Risk management for robust Machine Learning Operations (MLOps) at the University of Southampton, Faculty of Engineering and Physical Sciences / School of Electronics and Computer Science.

This project focuses on Machine Learning Operations (MLOps), machine learning, cyber security, and artificial intelligence, with an emphasis on building a risk-oriented framework to assess and manage the robustness of ML pipelines in production. The research looks at how to systematically evaluate robustness under uncertainty, adversarial conditions, distributional shifts, concept drift, and label noise, and how to manage risks across dataOps, modelOps, and automated operations.

The project is especially relevant if you are interested in trustworthy AI, production ML systems, software supply chains, monitoring, validation, versioning, and operational resilience in high-stakes settings such as healthcare, finance, and autonomous systems.

Supervisory team: Dr Leonardo Aniello.

Funding: Competition funded PhD project. Funding opportunities are available for UK and international students. Horizon Europe fee waivers may cover the difference between overseas and UK fees for qualifying students. Presidential Bursaries and school studentships may also cover tuition differences and provide a stipend for living costs for top-ranked applicants.

Eligibility: UK 2:1 honours degree or international equivalent. English language qualification required if applicable.

How to apply: Apply online, choose programme type Research, select 2027/28, Faculty of Engineering and Physical Sciences, then Full time or Part time. Search for programme PhD Computer Science (7089) and add the supervisor name in section 2. Submit a research proposal, CV, two academic references, and transcripts/certificates.

Deadline: Friday, 4 December 2026. Funding is awarded on a rolling basis, so early application is encouraged.

Funding details

Competition funded PhD project. Funding opportunities are available for UK and international students. Horizon Europe fee waivers automatically cover the difference between overseas and UK fees for qualifying students. Competition-based Presidential Bursaries may cover the difference between overseas and UK fees for top-ranked applicants. Competition-based studentships typically cover UK-level tuition fees and a stipend for living costs for top-ranked applicants. Funding is awarded on a rolling

What's required

You must have a UK 2:1 honours degree or an international equivalent. English language qualification is required if applicable. Applicants should submit a research proposal, CV, two academic references, and degree transcripts/certificates.

How to apply

Apply online via the University of Southampton application portal. Choose programme type Research, select 2027/28, Faculty of Engineering and Physical Sciences, then Full time or Part time, search for PhD Computer Science (7089), and add the supervisor name in section 2. Include the required proposal, CV, references, transcripts, certificates, and English language qualification if applicable.

More information can be found here

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