Job Vacancy Archive

Research Assistant / Associate

Knowledge Media Institute (KMi)
£27,854 - £36,298, Ref: 8761
Based in Milton Keynes
Temporary contract until 31st May 2014

Application closed on: Thursday 07 March 2013.

Linked Open Data has proven to be a very successful vehicle promoting the sharing and use of data via the Web. Over the last few years the Open University's Knowledge Media Institute (KMi) has been investigating how to integrate service technologies – including Web APIs/REST services – with Linked Open Data. We use the term Linked Services to cover the general area that we are investigating.

The research aims at extending our Linked Services infrastructure and tooling including the results from the EU SOA4All project (WSMO-Lite, MicroWSMO, iServe) to empower users to create advanced applications by combining the wealth of Linked Data existing on the Web and within organisations, together with added-value services and processes that leverage this data. The appointed candidate would work within one of our current EU projects: COMPOSE (developing a marketplace combining services and the Internet of Things) or VPH Share (which aims at sharing human body processes).

To apply, please fill the application form below and also include a Covering Letter (a maximum of 2,500 words) and CV

Download Application for Employment Form (short version) | Word Download the Application for Employment Form (Short Version)

Download the Application for Employment (Accessible/Short Version) Download the Application for Employment (Accessible/Short Version)

Then email it to quoting the job reference number '.8761.'.

Job Vacancy | Download Information for Applicants Download Job Related Information for Ref: 8761

We promote diversity in employment and welcome applications from all sections of the community.

Hard copies and access details for disabled applicants are available from the Resourcing Assistant by email

Further details on The Open University's employment conditions can be found at:

Back to archive list

About KMi

Latest Seminar
Mr Antonello Meloni
Department of Mathematics and Computer Science, University of Cagliari, IT

Large Language Models for Scientific Question Answering: an Extensive Analysis of the SciQA Benchmark

Watch the live webcast


Knowledge Media Institute
The Open University
Walton Hall
Milton Keynes
United Kingdom

Tel: +44 (0)1908 653800

Fax: +44 (0)1908 653169

Email: KMi Support


If you have any comments, suggestions or general feedback regarding our website, please email us at the address below.

Email: KMi Development Team