About KMi

Visitors

Visitors
The Knowledge Media Institute (KMi) is home to internationally recognized researchers in semantic technologies, new media systems, collaboration technologies, knowledge management, artificial intelligence, cognitive science, and human-computer interaction. KMi provides opportunities for researchers and students to come to KMi and join our research teams. The participants will take part in project-based research with a chance to make a contribution to one of our projects, while at the same time pursuing their research agenda e.g., continuing to study towards their PhD. If interested, please read through the information provided below and afterwards contact the KMi Visitors Co-ordinator with the relevant information about yourself and your interests.


Frequently Asked Questions

What is the role of a visitor?
As a visitor, you will work in a project team, working with KMi students and staff on a research problem which is of interest to both KMi and to yourself.

Are visitors necessarily British or EU nationals?
Definitely not, we are open as to your nationality, and we will consider your application regardless of whether you are British/EU national or not.

Do I need to have my own funding?
Yes, normally visitors are covered by their own grant – e.g., in the context of their doctoral bursary. In exceptional circumstances we may be prepared to fund a visitor ourselves, but this is a relatively rare occurrence.

How to apply for a KMi Visitor vacancy

  • Look at the information available on our web site about our research activities. In particular, look at the What We Do page and at our list of projects and technologies.
  • Prepare a structured CV (résumé)
  • Describe one or more research topics of interest to you and try to identify relevant KMi projects, with which you would like to be associated.
  • Send us your CV and application by email
  • The Co-ordinator will make an initial assessment about your application, and, when appropriate, will put you in touch with a specific project leader or project team. You will then discuss your potential work with these people to ensure that a suitable topic is identified, which matches yours and the project’s interests.
  • If we decide to formally offer you a visitor position, we will contact you with the further particulars. It is your responsibility to obtain all travel documents and visa if applicable. If your application is accepted, we will of course support your application for a visa

The application process

  • Look at the information available on our web site about our research activities. In particular, look at the What We Do page and at our list of projects and technologies.
  • Prepare a structured CV (résumé)
  • Describe one or more research topics of interest to you and try to identify relevant KMi projects, with which you would like to be associated.
  • Send us your CV and application by email (visitor Co-ordinator contact details)
  • The Co-ordinator will make an initial assessment about your application, and, when appropriate, will put you in touch with a specific project leader or project team. You will then discuss your potential work with these people to ensure that a suitable topic is identified, which matches yours and the project’s interests.
  • If we decide to formally offer you a visitor position, we will contact you with the further particulars. It is your responsibility to obtain all travel documents and visa if applicable. If your application is accepted, we will of course support your application for a visa.

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Visitor Co-ordinator: Alan Fletcher - feel free to contact for advice about coming to KMi as a visitor (email, telephone +44 (0)1908 654511).

General information: Ms Ortenz Rose (email, telephone +44 (0) 1908 654774, Knowledge Media Institute, The Open University, Walton Hall, Milton Keynes, MK7 6AA, UK).
 
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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