Manchester Metropolitan University
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PhD in Generisable Multimodal Learning for Socio-Contextual Human Behaviour Modelling at Manchester Metropolitan University Manchester Metropolitan University in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
Full funding availableDeadline
Jul 27, 2026
Country
United Kingdom
University
Manchester Metropolitan University

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About this position
Manchester Metropolitan University is advertising a funded PhD in Generalisable Multimodal Learning for Socio-Contextual Human Behaviour Modelling.
This project sits at the intersection of computer science, multimodal AI, computer vision, natural language processing, and audio analysis. The research will investigate how vision, language, and audio can be combined to understand human behaviour across different social contexts. Potential application areas include healthcare, emotion recognition, assistive technology, and personalised care.
The opportunity is described as part of a dynamic UKRI-funded research team, with access to advanced datasets, specialist research facilities, and interdisciplinary collaboration. The post highlights strong doctoral training and professional development support, making it attractive for candidates interested in building research, communication, and career skills alongside technical expertise.
Funding: £21,805 annual stipend for 2026/27 plus Home tuition fees. Home and International applicants may apply, although international students must pay the difference between Home and International tuition fees.
Eligibility and fit: The advert is aimed at applicants with a strong passion for AI research and its positive social impact. The post does not list detailed academic prerequisites in the social post itself, so candidates should review the full project page and discuss suitability with the named supervisor before applying.
Deadline: 27 July 2026. Expected start: January 2027.
How to apply: Use the project link for full details and application guidance. Contact Professor Moi Hoon Yap for an informal discussion before submitting the application through the university process.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
More information can be found here
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