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About KMi

Studentship Vacancies


The Knowledge Media Institute (KMi) is home to internationally recognised researchers in semantic technologies, educational multimedia, collaboration technologies, artificial intelligence, cognitive science, and human-computer interaction. KMi offers students an intellectually challenging environment with exceptional research and computer facilities.

We are currently offering a fully-funded studentship commencing January 2013. Applications are invited from UK, EU and international students for full-time, 3-year study on the following PhD project:

Funding consist of a stipend £40,770 (£13,590/year) plus fee bursary. We strongly recommend that you contact the lead researcher directly to discuss your interest prior to writing your proposal.

All applicants must have a first or upper second class degree from a UK university or the overseas equivalent and ideally a relevant Masters degree. Unless from a majority English-speaking country, non-EEA applicants will require an IELTS score of 6.5 with a minimum of 6 in each element of Listening, Reading, Speaking and Writing. IELTS Certificates are valid for a period of 2-years. All applications are assessed as to their quality, the fit with The Open University research priorities and the availability of supervisors in the relevant field.

Deadline: 16th November 2012


Mining Services on the Web

 This project is inherently interdisciplinary and the successful candidate will contribute to our established research in one or more areas, including Web Services, Semantic Web, Internet of Things, Web Systems Engineering, Data Mining, and Data Integration technologies...Read more.



 
The Open University
 

Social Software is...


Social Software can be thought of as "software which extends, or derives added value from, human social behaviour - message boards, musical taste-sharing, photo-sharing, instant messaging, mailing lists, social networking."

Interacting with other people not only forms the core of human social and psychological experience, but also lies at the centre of what makes the internet such a rich, powerful and exciting collection of knowledge media. We are especially interested in what happens when such interactions take place on a very large scale -- not only because we work regularly with tens of thousands of distance learners at the Open University, but also because it is evident that being part of a crowd in real life possesses a certain 'buzz' of its own, and poses a natural challenge. Different nuances emerge in different user contexts, so we choose to investigate the contexts of work, learning and play to better understand the trade-offs involved in designing effective large-scale social software for multiple purposes.