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
 

Multimedia and Information Systems is...


Multimedia and Information Systems
Our research is centred around the theme of Multimedia Information Retrieval, ie, Video Search Engines, Image Databases, Spoken Document Retrieval, Music Retrieval, Query Languages and Query Mediation.

We focus on content-based information retrieval over a wide range of data spanning form unstructured text and unlabelled images over spoken documents and music to videos. This encompasses the modelling of human perception of relevance and similarity, the learning from user actions and the up-to-date presentation of information. Currently we are building a research version of an integrated multimedia information retrieval system MIR to be used as a research prototype. We aim for a system that understands the user's information need and successfully links it to the appropriate information sources, be it a report or a TV news clip. This work is guided by the vision that an automated knowledge extraction system ultimately empowers people making efficient use of information sources without the burden of filing data into specialised databases.

Visit the MMIS website