Full Time Funded PhD Studentship

The Open University - Faculty of Science, Technology, Engineering and Mathematics (STEM)

Full time – 3-years to start October 2018; Stipend: £14,777 pa plus fee bursary,

Based in Milton Keynes

Knowledge Media Institute (KMi)

The Open University’s Knowledge Media Institute (KMi) is a distinct research unit within the Faculty of STEM, and is home to internationally recognized researchers in semantic technologies, data science, 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, located at the OU headquarters in Milton Keynes, which is a 45 minute train journey from Central London and a further 15 minutes by taxi. Past KMi PhD students pursue successful careers in academia and industry, and have won a number of distinguished awards, including the 2016 and 2017 SWSA Distinguished Dissertation Awards.

We are currently offering a fully-funded studentship commencing October 2018. Applications are invited from UK, EU and ROW for a full time, 3-year study on the following PhD topic. We strongly recommend that you contact Dr Petr Knoth (petr.knoth@open.ac.uk) to discuss your interest prior to writing your proposal.

Your proposal is to be based on the following topic:-

  • Large-scale information extraction from unstructured textual resources (1 position available – supported by JDS:Core). The student is expected to work with millions of research papers extracting useful information, such as names of scientific methods, statistical tests performed, tables, graphs plus captions, basic metadata (title, affiliation, abstract, author names), conclusion sentences, innovation sentences, methodology sentences, algorithm descriptions, etc., from their text to assist in knowledge discovery and information retrieval. It is expected the student will focus on developing new information extraction methods making use of supervised and semi-supervised machine learning.

The PhD is commercially funded and we have already a reasonably good idea about the direction of the research that can be done. The proposal should therefore demonstrate your capability to learn quickly about the domain as well as to align it with the needs of the PhD project.

You will have a first or upper second class degree from a UK university or the overseas’ 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. All applications are assessed as to their quality, the fit with The Open University research priorities and the availability of supervisors in the relevant field.

Closing date: 17:00 on 12 April 2018

Interviews: to be advised

For detailed information and how to apply please click the apply button below.

Equal Opportunity is University Policy

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