Full time funded PhD Studentship
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Stipend: £14,777 pa plus fee bursary, Ref: 11653
Based in Milton Keynes
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 45 minutes by train from central London. 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.
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 to discuss your interest prior to writing your proposal.
Your proposal is to be based on the following topic:
Web-scale research analytics for identifying high performance and trends: data-driven approaches to scientometrics
(1 position available – supported by JISC).
This topic will look into new forms of research assessment analysis based on textual data in research publications. It is expected that the PhD will go further into analysing the propagation of facts through research literature forming a research network. We expect the applicant to work on the intersection of text analysis, social networking and general data mining/analysis.
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.
Tags: text and data mining, impact evaluation, information extraction, machine learning, big data.
- Good knowledge of NLP, text-mining, information extraction or information retrieval;
- Understanding of machine learning fundamentals;
- Excellent programming and especially prototyping skills;
- Ability to process large datasets;
- Understanding of the research lifecycle (ability to state hypotheses, design new methods, implement prototypes, evaluate methods, interpret results, adapt methods, etc.);
- Prior experience of data analysis and machine learning.
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.
Closing date: Candidates will be interviewed on a first come first served basis, until a successful candidate is found
Interviews: to be advised
Equal Opportunity is University Policy
How to apply
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.
- Application form if you are resident in the UK or European Economic Area.
- Application form if you are resident elsewhere.
Applications should be sent by email to email@example.com (please CC firstname.lastname@example.org when submitting applications) and should include a covering letter, MPhil/PhD application form, a research proposal (a maximum of 2,000 words), and a full CV, giving contact details for two academic referees.