Studentship Vacancies

Full-time PhD Studentships

Knowledge Media Institute (KMi)
Stipend: 14,057 per year plus fee bursary, Ref: 9501
Based in Milton Keynes

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 fully-funded studentships commencing October 2016. Applications are invited from UK, EU and international students for full-time, 3-year study on the following PhD topics. For further information, contact details are provided for each topic. We strongly recommend that you contact the researcher associated with the topic to discuss your interest prior to writing your proposal.

Please make a choice of one from these following topics:

  • Learning Analytics and Self-Regulated Learning: how can Learning Analytics tools and methodologies facilitate self-regulated learning within formal and informal education settings. Contact Alexander Mikroyannidis.
  • Big Data Analytics in the Research Domain. Contact Enrico Motta or Francesco Osborne.
  • Social Media Analysis for Crises Management, Crime Detection, or Health. Contact Harith Alani.
  • Social technology design and communities engagement (HCI). Contact Lara Piccolo.
  • Large-scale information extraction from unstructured textual resources. Contact Petr Knoth or Zdenek Zdrahal.
  • Discovering semantic relationships in large textual collections with applications to recommender systems for research. Contact Petr Knoth or Zdenek Zdrahal.
  • Web-scale research analytics for identifying high performance and trends: data-driven approaches to scientometrics. Contact Petr Knoth or Zdenek Zdrahal.
  • Machine learning methods for performance forecasting in the field of leaning analytics. Contact Zdenek Zdrahal or Petr Knoth.
  • Personalised content recommenders for learning: optimisation strategies with constraints. Contact Zdenek Zdrahal or Petr Knoth.
  • Interactive live webcasting for distance learning. Contact Trevor Collins.
  • Embedding innovation in Technology Enhanced Learning. Contact Trevor Collins.
  • Technology enhanced fieldwork learning. Contact Trevor Collins.
  • Data Mining the Internet of Things to, for example, automatically annotate sensors, detect events, faults, deviations, etc. Contact Carlos Pedrinaci.
  • Smart and opportunistic discovery and interaction with ubiquitous Internet of Things deployments. Contact Carlos Pedrinaci.
  • Online Collaborative Data Analysis for reproducible Data Science. Contact Carlos Pedrinaci.
  • Extracting knowledge from large numbers of autonomous sensors in a Smart City. Contact Mathieu d'Aquin.
  • Learning analytics for the benefit of the learners in social media platforms. Contact Mathieu d'Aquin.
  • Bridging the gap between knowledge discovery and Big Data Analytics. Contact Mathieu d'Aquin.
  • Applying blockchains (the technology which underpins the crypto-currency Bitcoin) within higher educational settings: as a new way of accrediting learning; for storing collaboratively created ePortfolios; developing an educational currency to support disruptive learning and teaching processes. Contact John Domingue.
  • Mobile, social or semantic web technologies to support museum learning. Contact Paul Mulholland.
  • Multimedia analysis and retrieval, e.g. making sense of images and video with applications to search engines and automated analysis of the visual content. Contact Stefan Rueger.

You will have a first or upper second class degree from a UK university or equivalent and ideally a relevant Master's 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.

Closing date: 20 June 2016
Interviews: to be advised

For detailed information and how to apply go to http://www3.open.ac.uk/employment/, call the Recruitment Co-ordinator on +44 (0)1908 654774 or email kmi-recruitment@open.ac.uk quoting the reference number.

Equal Opportunity is University Policy


It is strongly recommended that applicants contact the named contact point for the project of interest to get more information about the project in question. It is also important to read the online prospectus before downloading and completing the 10-page MPhil/PhD application form.

Applications should be sent by email to research-degrees-kmi@open.ac.uk (please CC kmi-recruitment@open.ac.uk when submitting applications) and should include a covering letter, a research proposal (a maximum of 2,000 words), and a full CV, giving contact details for two academic referees.

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.

CONTACT US

Knowledge Media Institute
The Open University
Walton Hall
Milton Keynes
MK7 6AA
United Kingdom

Tel: +44 (0)1908 653800

Fax: +44 (0)1908 653169

Email: KMi Support

COMMENT

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

Email: KMi Development Team