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University of Southampton

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PhD in Mitigating Memorisation Risks in Large Language Models University of Southampton in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Competition funded PhD project with funding opportunities for UK and international students. Horizon Europe fee waivers may 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 plus a stipend for living costs for top-ranked applicants. Funding is awarded on a rolling basis.

Deadline

Oct 13, 2027

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Country

United Kingdom

University

University of Southampton

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Keywords

Computer Science
Electrical Engineering
Information Technology
Mathematics
Artificial Intelligence
Cybersecurity
Privacy Law
Privacy-preserving Techniques
Multi-agent System
Large Language Models

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About this position

PhD opportunity at the University of Southampton on Mitigating Memorisation Risks in Large Language Models.

This project sits in the Cyber Security group within the Faculty of Engineering and Physical Sciences and is supervised by Dr Han Wu (cyberPUNK Lab). The research focuses on how large language models can memorise training data and reproduce personal information, copyrighted content, or proprietary intellectual property, and how to detect, control, and remove such memorisation.

Possible research directions include memorisation auditing, privacy attacks, machine unlearning, privacy-preserving training, and multi-agent AI systems. The project also connects to broader issues in data protection law, copyright, and AI governance.

The post is open to students worldwide and is described as a competition funded PhD project. Funding may include fee waivers, bursaries, or studentships depending on eligibility and ranking. UK 2:1 honours degree or equivalent is required in computer science, Artificial Intelligence, or a related discipline; strong machine learning and Python experience is desirable.

To apply, use the University of Southampton application route for Research entry in 2027/28, select the Faculty of Engineering and Physical Sciences, choose the relevant PhD programme, and add the supervisor name in the application. Required documents include a personal statement, CV, two academic references, and degree transcripts.

For an initial conversation, contact [email protected]. General enquiries can be sent to [email protected].

Funding details

Competition funded PhD project with funding opportunities for UK and international students. Horizon Europe fee waivers may 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 plus a stipend for living costs for top-ranked applicants. Funding is awarded on a rolling basis.

What's required

Applicants must have a UK 2:1 honours degree or international equivalent in computer science, Artificial Intelligence, or a related discipline. Strong experience in machine learning and Python programming is desirable.

How to apply

Apply through the University of Southampton postgraduate application portal. Choose Research, 2027/28, Faculty of Engineering and Physical Sciences, then Full time or Part time, and select PhD Electronic & Electrical Engineering (7092). Add the supervisor name in section 2 and upload a personal statement, CV, two academic references, and degree transcripts.

More information can be found here

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