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Accessibility statement
Award
Award
Duration
Duration
Start dates
Start dates
Application
Application
PhD (MPhil also available)
PhD (MPhil also available)
Full-time: 3–4 years
Part-time: 6–8 years
Full-time: 3–4 years
Part-time: 6–8 years
February and October
February and October
January to April
January to April
Data science and extended intelligence goes beyond efficient data infrastructure and engineering, it studies data empowered human processes that lead to smarter, fairer, more sustainable and equitable ways of living.
Our research on Artificial Intelligence technologies to facilitate citizen science learning focuses on motivating citizen action. These include technologies to support citizens’ identification of species using natural language generation to provide formative feedback, automatically generating multiple-choice quizzes to test learning, and intelligently visualising ecological data to engage citizens.
The Intelligent System and Data Science group pioneers research in Digital Humanities, Smart Cities and Robotics, and Scholarly Data Analytics. Finally, our research in Data Science and AI for scholarly communication has produced the world’s largest collection of open access research papers (CORE), and a variety of cutting edge technologies to support editorial processes at Springer Nature.
Minimum 2:1 undergraduate degree in a technical or appropriate social science discipline, depending on the project proposed. If you are not a UK citizen, you may need to prove your knowledge of English.
UK fee
UK fee
International fee
International fee
Full-time: £5,006 per year
Full-time: £5,006 per year
Full-time: £16,420 per year
Full-time: £16,420 per year
Part-time: £2,503 per year
Part-time: £2,503 per year
Part-time: £8,210 per year
Part-time: £8,210 per year
Some of our research students are funded via a Doctoral Training Partnership; 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.
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Get in touch
If you have an enquiry specific to this research topic, please contact:
Ms Ortenz Rose (KMi Senior Services Assistant)
Email: KMI PHD Enquiries
Phone: +44 (0)1908 654774
Apply now
Please review the application process if you want to apply for this research topic.
Level info