Publisher
source

University of Warwick

Top university

Just Landed

PhD Opportunity in AI & Machine Learning at University of Warwick University of Warwick in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Selected candidates may be nominated for fully funded PhD opportunities through the Computer Science CDT and university scholarships, including the Chancellor’s Scholarship. Funding is competitive and not guaranteed.

Deadline

Oct 30, 2026

Country flag

Country

United Kingdom

University

University of Warwick

Social connections

How do I apply for this?

Sign in for free to reveal details, requirements, and source links.

Apply for this position

Keywords

Computer Science
Mathematics
Federated Learning
Game Theory
Reinforcement Learning
Bayesian Statistics
Causality
Statistics
Multi-agent System
Large Language Models

Suggested positions

About this position

🎓 PhD opportunity in AI & Machine Learning at the University of Warwick in the United Kingdom.

The opportunity is aligned with research in AI and Machine Learning Theory, Generative AI, Large Language Models (LLMs), Reinforcement Learning, Multi-Agent Systems, Game Theory, Bandit Theory, Federated Learning, AI Safety, Bayesian Inference, Causality, and Quantum Learning. It is a strong fit for students interested in theoretical and foundational machine learning research within Computer Science.

Applicants should prepare a CV, a 2–3 page letter of motivation, and a list of preferred researchers to work with. The post notes that selected candidates may be nominated for fully funded PhD opportunities through the Computer Science CDT and university scholarships, including the Chancellor’s Scholarship, but funding is competitive and not guaranteed.

The process is described as an internal selection round with an expected start in October 2027 and interviews expected during the week of 16 November 2026. The deadline given is 30 October 2026.

Interested candidates should complete the research group’s application form and may make informal enquiries to relevant researchers. The post also links to the official PhD information page and Professor Debmalya Mandal’s website.

Funding details

Selected candidates may be nominated for fully funded PhD opportunities through the Computer Science CDT and university scholarships, including the Chancellor’s Scholarship. Funding is competitive and not guaranteed.

What's required

Applicants should submit a CV, a 2–3 page letter of motivation, and preferred researchers to work with. The post is aimed at candidates interested in AI and machine learning theory, generative AI and large language models, reinforcement learning and multi-agent systems, game theory and bandit theory, federated learning and AI safety, Bayesian inference, causality, and quantum learning. Funding is competitive and selection is internal before formal nomination.

How to apply

Complete the application form provided by the research group. Prepare a CV, a 2–3 page motivation letter, and indicate preferred researchers. Informal enquiries to relevant researchers are encouraged.

More information can be found here

Ask ApplyKite AI

Start chatting
Can you summarize this position?
What qualifications are required for this position?
How should I prepare my application?