University of Southampton
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PhD in Multimodal LLMs for Argument and Evidence Understanding University of Southampton in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
Competition funded PhD project. Funding details are not specified in the post beyond competition funding; fees and funding information is available via the university page.
Deadline
Jul 1, 2027
Country
United Kingdom
University
University of Southampton

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About this position
PhD opportunity at the University of Southampton in Multimodal LLMs for Argument and Evidence Understanding.
This postgraduate research project sits in the School of Electronics and Computer Science and focuses on how multimodal large language models can understand arguments across text, audio, images, and video. The project combines natural language processing, multimodal machine learning, vision-language models, argument mining, computer vision, and audio analysis.
Research directions may include identifying claims, premises, evidence, and argumentative relationships; connecting spoken or written claims with visual evidence; analysing arguments in long complex discussions; developing datasets and evaluation methods; improving cross-domain generalisation; and testing whether models use multimodal evidence faithfully. Methods mentioned include multimodal reasoning, multimodal CoT distillation, multimodal retrieval, structured prediction, retrieval-augmented generation, and neural-symbolic approaches.
The project is competition funded. The page does not specify a stipend amount in the excerpt, so applicants should check the university’s fees and funding information for full details.
Entry requirement: a 2:1 honours degree. The project is suitable for applicants with interests or experience in AI, multimodal reasoning, and related computational methods.
Deadline: 1 July 2027.
Potential professional-development opportunities may include teaching experience, engagement with networks such as the Alan Turing Institute and Responsible AI UK, and support from Future Worlds to explore commercial potential.
Funding details
Competition funded PhD project. Funding details are not specified in the post beyond competition funding; fees and funding information is available via the university page.
What's required
Applicants need at least a 2:1 honours degree. The project is suitable for candidates interested in multimodal machine learning, large language models, vision-language models, argument mining, and related AI methods; prior experience in these areas would be helpful. The post invites applicants to shape the precise methods, modalities, and applications according to their interests and experience.
How to apply
Review the project page and the full entry requirements, then apply through the University of Southampton postgraduate research application process. Check the fees and funding section before submitting your application.
More information can be found here
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