Working at KMi

Job Vacancies [1]

Studentships
 

News

 
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
 

Multimedia and Information Systems is...


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