Artificial intelligence and natural language processing

Qualifications Duration Start dates Application period
PhD
(MPhil also available)
Full-time: 3–4 years
Part-time: 6–8 years
February and October January to April
Qualifications
PhD (MPhil also available)
Duration
Full-time: 3–4 years
Part-time: 6–8 years
Start dates
February and October
Application period
January to April

Making sense of human communication is at the heart of our work in natural language processing and Artificial Intelligence. Research in these areas, particularly the success of deep learning, is leading to unprecedented improvements in applications such as text understanding, information retrieval, and human language interfaces.

Our research also aims to develop a deeper understanding of how humans use language. We investigate this with our work in natural language generation, ambiguity analysis, and dialogue systems. We apply the same techniques to understanding music to generate adaptive soundtracks for computer games automatically.

Entry requirements

Minimum 2:1 undergraduate degree (or equivalent). If you are not a UK citizen, you may need to prove your knowledge of English.

Potential research projects

  • Natural language generation
  • Dialogue systems and information flow
  • Ambiguity in text
  • Automatic music composition
  • Natural language processing in educational applications
  • Information retrieval
  • Neurobehavioural models of perceptual uncertainty

Potential supervisors

Fees and funding

UK fee International fee
Full-time: £4,786 per year Full-time: £15,698 per year
Part-time: £2,393 per year Part-time: £7,849 per year

Some of our research students are funded via Doctoral Training Partnership EPSRC and the STEM Faculty; others are self-funded.

For detailed information about fees and funding, visit Fees and studentships.

To see current funded studentship vacancies across all research areas, see Current studentships.

Links

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How to apply

Get in touch

If you have an enquiry specific to this research topic, please contact:

Email: STEM CC PHD

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