The UK National Archives seeks to collect and secure the future of the public record in all its forms and to make it as accessible as possible. We are seeking a PhD student to help shape the future of information exploration and discovery in big digital archives. There is a clear need for cultural heritage institutions (archives, libraries and museums) to provide systems that go beyond keyword-based search and support more diverse information seeking behaviours, such as browsing and exploration of large collections. Entities, such as people, places, organisations and events, can be extracted from the archive and linked to form a network that users can explore in addition to navigating the content directly. This project aims to investigate the performance of entity-centric methods and develop prototype systems to better understand how entity-based networks can best support users exploration of large digital archives.
Funding & eligibility:
The Studentship is tenable for a maximum of three years, commencing October 2015 and available only to Home/EU students. It will cover fees and a stipend (£14,057 per year in 2015/16). UK students will be eligible for a full award which pays fees and a maintenance grant if they meet the residency criteria. EU students will be eligible for a fees-only award, unless they have been resident in the UK for 3 years immediately prior to taking up the award.
• have (or expect to have by Autumn 2015) a good masters degree in computer science, library and information science, or related disciple with at least 60% weighted mean and 60% in the dissertation component.
• if not graduated from a majority English speaking country, evidence of a recognised English language qualification equivalent to IELTS 6.5 overall with 6.0 in each component.
Familiarity with quantitative and qualitative research methods, ability to work independently, excellent written and oral communications skills, knowledge of formal research process, including writing and presenting results/findings. Applicants will also have strong analytical skills, programming skills, and a genuine interest in designing, building and publishing innovative approaches and systems to explore large-scale archive data.
University of Sheffield
How to apply:
Please mention NLP People as a source when applying
More information: If you want to discuss thesStudentship contact Prof. Paul Clough. Further information can be found at: http://dagda.shef.ac.uk/entitycentric/AHRC-CDP_Entity_Centric_Exploration_2015.pdf
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