Job Vacancy Archive
Senior Research Fellow
Knowledge Media Institute (KMi)
£49,772 to £55,998, Ref: 13579
Based in Milton Keynes
Application closed on: Monday 19 June 2017.
The post is intended to strengthen the Open Universitys Knowledge Media Institute (KMi) international research reputation and in particular we are interested in candidates who can pursue a robust and innovative research agenda in one or more of these strategic research areas:
- Data Science (Machine Learning, Linked Data, Analytics, Big Data, Data Visualization, Blockchain Technologies);
- Internet of Things (Smart Objects, Wearable Computing, Ambient Intelligence, Sensor Networks, Smart Cities);
- New Media Technologies (New Media for Collaboration and Learning, Interfaces, Augmented Reality, Novel Interaction Techniques).
Candidates are expected to be established leaders in one or more of these areas with an excellent international standing as evidenced by substantial publications, a proven ability to acquire and carry out research projects, and demonstrable experience of leading and developing research groups. They are also expected to be excellent communicators, able to engage passionately and communicate clearly with a variety of audiences, within and outside the University. KMi has a special ethos, characterised by a can-do attitude and a dynamic hands-on approach to research and we expect the successful candidate to be able to slot in naturally in such informal, research-oriented environment. Consistently with such hands-on ethos, the candidate should be able to demonstrate evidence of having deployed real technologies, in real contexts, for real users: a hallmark of most KMi activities.
To apply, please fill the application form below and also include a Covering Letter (a maximum of 2,500 words) and CV
Download the Application for Employment Form (Short Version)
Download the Application for Employment (Accessible/Short Version)
Then email it to firstname.lastname@example.org quoting the job reference number '.13579.'.
Download Job Related Information for Ref: 13579
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