Working at KMi

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About KMi

Job Vacancies


KMi employs 67 people, a mix of researchers, technologists, designers and administrative staff. We are in a phase of rapid expansion, and as a result job opportunities arise frequently.

This page lists our current and recent job vacancies.

There are currently no vacancies available

Alternatively click here to view a list of our recent past vacancies.

Requests for hard-copy documents/forms, further particulars, and application submissions can be directed to KMi Recruitment Coordinator at the Knowledge Media Institute, Open University, Milton Keynes, MK7 6AA, UK, Tel. +44 (0)1908 654774, Fax +44 (0)1908 653169.

Or alternatively you can download a word version of the application form by clicking here

Please let us know if you need your copy of the further particulars in large print, on computer disk, or on audio cassette tape. Hearing impaired persons may make enquiries on Milton Keynes +44 (0) 1908 654901 (Minicom answerphone). Equal Opportunity is University Policy.
 
The Open University Event | SSSW 2013, The 10th Summer School on Ontology Engineering and the Semantic Web Journal | 25 years of knowledge acquisition
 

Social Software is...


Social Software
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.