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Next Generation of Contextually-aware and AI-powered Human Computer Interaction Technology

Bournemouth University - Faculty of Media & Communication

Qualification Type: PhD
Location: Bournemouth
Funding for: UK Students, EU Students, International Students
Funding amount: Not Specified
Hours: Full Time
Placed On: 15th September 2021
Closes: 31st October 2021

Funding amount: £15,450 maintenance grant per annum

Lead Supervisor name: Dr Hongchuan Yu

Due to a promising market, human computer dialog is becoming an active topic in academic and creative industry fields. Most of famous companies launched the individual products such as MS Cortana, Xiaoice, OpenAI GPT, Google chat etc. Besides text or text-to-speech, non-verbal channels, such as facial expressions, postures and gestures, combined with emotion in speech, are important in understanding the dialogue. This is because in human communications, the information is often transmitted from multiple channels, including facial expressions, emotional voices, postures and gestures. Understanding of people’s intentions from their multichannel information plays a key role in natural interaction.

This PhD project aims at multichannel user behaviour detection and multimodal data fusion in multimodal human-computer interaction (HCI), which helps improve the believability in human computer dialogs.

This is a fully-funded PhD studentship which includes a stipend of £15,450 each year to support your living costs.

This project is conditional upon the funding being secured.

What does the funded studentship include?

Funded candidates will receive a maintenance grant of £15,450 per annum (unless otherwise specified), to cover their living expenses and have their fees waived for 36 months. In addition, research costs, including field work and conference attendance, will be met.

Funded Studentships are open to both UK/EU and International students unless otherwise specified.

Eligibility criteria

Candidates for a PhD Studentship should demonstrate outstanding qualities and be motivated to complete a PhD in 4 years and must demonstrate:

  • Outstanding academic potential as measured normally by either a 1st class honours degree (or equivalent Grade Point Average (GPA) or a Master’s degree with distinction or equivalent
  • An IELTS (Academic) score of 6.5 minimum (with a minimum 6.0 in each component, or equivalent) for candidates for whom English is not their first language and this must be evidenced at point of application.

Additional Eligibility:

It is essential to have programming experience in C, or C++, or python, or JavaScript.

It is desired to have experience in machine learning (e.g. deep learning technology, data mining etc).

In addition to satisfying basic entry criteria, BU will look closely at the qualities, skills and background of each candidate and what they can bring to their chosen research project in order to ensure successful and timely completion.

Closing date: The first call for applications will close on 31st October 2021.

For further information on how to apply click the ‘Apply’ button above or email

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