Qualification Type: | PhD |
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Location: | Manchester |
Funding for: | UK Students |
Funding amount: | £19,237 (annual stipend of the research council minimum rate for 2024/25) |
Hours: | Full Time |
Placed On: | 25th June 2024 |
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Closes: | 22nd July 2024 |
This is a full-time, funded PhD opportunity in the Faculty of Science and Engineering. It is open to both home and overseas students. Please note that only home fees will be covered - eligible overseas students will need to make up the difference in tuition fee funding.
This opportunity provides an annual stipend of the research council minimum rate (set by UKRI) of £19,237 for 2024/25.
Please note that the expected start date for home students is October 2024 and international students January 2025.
Project contact
Dr Xinqi Fan (x.fan@mmu.ac.uk)
Project advert
This studentship is offered as part of wider Manchester Metropolitan University's investment in our future thought leaders, this represents an opportunity to join the Faculty of Science and Engineering’s growing doctoral research community committed to excellent research with impact.
This project forms an exciting research opportunity to join Manchester Met’s AI, Digital and Cyber-Physical Systems theme for improving life quality. Homecare robots are seen as a solution to the challenges posed by the rapidly growing elderly population and increasing healthcare costs.
However, most robots only offer physical assistance and lack emotional support. This project aims to address these limitations by building multimodal emotion understanding methods with an application to human-robot interactions to understand and response to human emotions.
The successful candidate will join the energetic human-centred computing group led by Professor Moi Hoon Yap.
Project aims and objectives
The project aims to design innovative deep multimodal learning methods to understand human emotions. It will address the following key questions:
Specific requirements of the project
Candidates must have a strong motivation for research and excellent programming skills. Expertise of developing computer vision and machine learning algorithms would be desirable, with an interest in image analysis.
Qualifications
Skills
How to apply
Interested applicants should contact Dr Xinqi Fan (x.fan@mmu.ac.uk) for an informal discussion.
To apply you will need to complete the online application form for a full-time PhD in Computing and Digital Technologies (or download the PGR application form).
You should also complete the PGR thesis proposal and Narrative CV addressing the project’s aims and objectives, demonstrating how the skills you have maps to the area of research and why you see this area as being of importance and interest.
If applying online, you will need to upload your statement in the supporting documents section (via the ‘Apply’ button above), or email the application form and statement to PGRAdmissions@mmu.ac.uk.
Expected start date: Home students October 2024. International students January 2025.
Please quote the reference: SciEng-XF-2024-Multimodal-Emotion-Understanding
Email address: x.fan@mmu.ac.uk
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