{"id":387,"date":"2026-07-09T17:01:44","date_gmt":"2026-07-09T16:01:44","guid":{"rendered":"https:\/\/schools.stem.open.ac.uk\/knowledge-media-institute\/?page_id=387"},"modified":"2026-07-09T17:01:44","modified_gmt":"2026-07-09T16:01:44","slug":"7974-research-associate","status":"publish","type":"page","link":"https:\/\/schools.stem.open.ac.uk\/knowledge-media-institute\/7974-research-associate\/","title":{"rendered":"7974 &#8211; Research Associate"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\"><strong>Knowledge Media Institute (KMi)<br>\u00a330,122 &#8211; \u00a335,938, Ref: 7974<br>Based in Milton Keynes<br>Temporary contract until 29th May 2013<\/strong><br><strong>Application closed on: Thursday 26 April 2012<\/strong>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The Open University&#8217;s Knowledge Media Institute (KMi) is looking for a Research Associate able to develop machine learning approaches for the detection of violence and extremism in social media. The EPSRC funded project will study a Bayesian modelling approach which identifies violent contents in social media without the use of any labelled data. Efficient online parameter updating and parallel data processing procedures will be investigated.<br><br>You should have a strong interest and expertise in natural language processing, sentiment analysis and opinion mining, and machine learning and hold a degree in Computer Science or other relevant discipline. You must be able to combine scientific research with practical research and development in the project.<\/p>\n\n\n\n<h5 class=\"wp-block-heading\">To apply, please fill the application form below and also include a Covering Letter (a maximum of 2,500 words) and CV<\/h5>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/kmi.open.ac.uk\/jobs\/archive\/Application-For-Employment-Short-Version-HRF039.doc\" target=\"_blank\" rel=\"noreferrer noopener\"><\/a> <a href=\"https:\/\/kmi.open.ac.uk\/jobs\/archive\/Application-For-Employment-Short-Version-HRF039\" target=\"_blank\" rel=\"noreferrer noopener\">Download the Application for Employment Form (Short Version)<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/kmi.open.ac.uk\/jobs\/archive\/Application-for-Employment-Form-Accessible-Short_Version_HRF038.doc\" target=\"_blank\" rel=\"noreferrer noopener\"><\/a> <a href=\"https:\/\/kmi.open.ac.uk\/jobs\/archive\/Application-for-Employment-Form-Accessible-Short_Version_HRF038.doc\" target=\"_blank\" rel=\"noreferrer noopener\">Download the Application for Employment (Accessible\/Short Version)<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Then email it to <a href=\"mailto:resourcing-hub@open.ac.uk\">resourcing-hub@open.ac.uk<\/a> quoting the job reference number <strong>&#8216;.7974.&#8217;<\/strong>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/kmi.open.ac.uk\/jobs\/further-particulars\/Further-Particulars.pdf\"><\/a> <strong><a href=\"https:\/\/kmi.open.ac.uk\/jobs\/further-particulars\/Further-Particulars.pdf\">Download Job Related Information for Ref: 7974<\/a><\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>We promote diversity in employment and welcome applications from all sections of the community.<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Hard copies and access details for disabled applicants are available from the Resourcing Assistant by email <a href=\"mailto:resourcing-hub@open.ac.uk\">resourcing-hub@open.ac.uk<\/a><\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Further details on The Open University&#8217;s employment conditions can be found at: <a href=\"http:\/\/www3.open.ac.uk\/employment\/benefits.asp\">http:\/\/www3.open.ac.uk\/employment\/benefits.asp<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/schools.stem.open.ac.uk\/knowledge-media-institute\/job-vacancy-archive\/\">Back to archive list<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Knowledge Media Institute (KMi)\u00a330,122 &#8211; \u00a335,938, Ref: 7974Based in Milton KeynesTemporary contract until 29th May 2013Application closed on: Thursday 26 April 2012. The Open University&#8217;s Knowledge Media Institute (KMi) is looking for a Research Associate able to develop machine learning approaches for the detection of violence and extremism in social media. The EPSRC funded project [&hellip;]<\/p>\n","protected":false},"author":13,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"unity_related_person":[],"unity_sdg":[],"unity_research_theme":[],"unity_strategic_priority":[],"unity_enabler":[],"unity_general_category":[],"unity_stem_unit":[],"unity_related_project":[],"unity_related_archived_project":[],"unity_related_event":[],"class_list":["post-387","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/schools.stem.open.ac.uk\/knowledge-media-institute\/wp-json\/wp\/v2\/pages\/387","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/schools.stem.open.ac.uk\/knowledge-media-institute\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/schools.stem.open.ac.uk\/knowledge-media-institute\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/schools.stem.open.ac.uk\/knowledge-media-institute\/wp-json\/wp\/v2\/users\/13"}],"replies":[{"embeddable":true,"href":"https:\/\/schools.stem.open.ac.uk\/knowledge-media-institute\/wp-json\/wp\/v2\/comments?post=387"}],"version-history":[{"count":1,"href":"https:\/\/schools.stem.open.ac.uk\/knowledge-media-institute\/wp-json\/wp\/v2\/pages\/387\/revisions"}],"predecessor-version":[{"id":388,"href":"https:\/\/schools.stem.open.ac.uk\/knowledge-media-institute\/wp-json\/wp\/v2\/pages\/387\/revisions\/388"}],"wp:attachment":[{"href":"https:\/\/schools.stem.open.ac.uk\/knowledge-media-institute\/wp-json\/wp\/v2\/media?parent=387"}],"wp:term":[{"taxonomy":"unity_related_person","embeddable":true,"href":"https:\/\/schools.stem.open.ac.uk\/knowledge-media-institute\/wp-json\/wp\/v2\/unity_related_person?post=387"},{"taxonomy":"unity_sdg","embeddable":true,"href":"https:\/\/schools.stem.open.ac.uk\/knowledge-media-institute\/wp-json\/wp\/v2\/unity_sdg?post=387"},{"taxonomy":"unity_research_theme","embeddable":true,"href":"https:\/\/schools.stem.open.ac.uk\/knowledge-media-institute\/wp-json\/wp\/v2\/unity_research_theme?post=387"},{"taxonomy":"unity_strategic_priority","embeddable":true,"href":"https:\/\/schools.stem.open.ac.uk\/knowledge-media-institute\/wp-json\/wp\/v2\/unity_strategic_priority?post=387"},{"taxonomy":"unity_enabler","embeddable":true,"href":"https:\/\/schools.stem.open.ac.uk\/knowledge-media-institute\/wp-json\/wp\/v2\/unity_enabler?post=387"},{"taxonomy":"unity_general_category","embeddable":true,"href":"https:\/\/schools.stem.open.ac.uk\/knowledge-media-institute\/wp-json\/wp\/v2\/unity_general_category?post=387"},{"taxonomy":"unity_stem_unit","embeddable":true,"href":"https:\/\/schools.stem.open.ac.uk\/knowledge-media-institute\/wp-json\/wp\/v2\/unity_stem_unit?post=387"},{"taxonomy":"unity_related_project","embeddable":true,"href":"https:\/\/schools.stem.open.ac.uk\/knowledge-media-institute\/wp-json\/wp\/v2\/unity_related_project?post=387"},{"taxonomy":"unity_related_archived_project","embeddable":true,"href":"https:\/\/schools.stem.open.ac.uk\/knowledge-media-institute\/wp-json\/wp\/v2\/unity_related_archived_project?post=387"},{"taxonomy":"unity_related_event","embeddable":true,"href":"https:\/\/schools.stem.open.ac.uk\/knowledge-media-institute\/wp-json\/wp\/v2\/unity_related_event?post=387"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}