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 |
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.
Entry requirements
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.
Potential research projects
- Artificial Intelligence in Photography
- Citizen Science Exhibitions
- Communicating Complex Data
- Discussion Based Collective Intelligence
- Distributed Linked Data for Cultural Heritage
- Enhancing robots through Knowledge Technologies
- Shape and Movement Analysis for Biodiversity Monitoring
- Supporting Scientific Research with Knowledge Graphs
Current/recent research projects
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 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.
Links