Text/Data Mining Engineer (Senior Research Associate)

Description

Limit of tenure: This post is for 12 months in the first instance.

The Digital Services Division of Cambridge University Library seeks an experienced  software engineer with specific knowledge of text and data mining to work as a Senior Research Associate on a Mellon-funded research project to generate rich automatic metadata for one of the Library's major historical archives, the Taylor-Schechter Genizah collection (http://www.lib.cam.ac.uk/Taylor-Schechter/).

The Digital Services Division resulted from the recent merger of the University's Centre for Applied Research in Educational Technologies (CARET) and the University Library's Electronic Services and Systems Division. It undertakes a wide range of innovative research and development projects that supports and enhances the University's research and teaching infrastructure. This post is based within the Division's Development Group, but will work closely with colleagues in others teams and with specialists from the Genizah unit.

The exciting role involves: processing and mining existing metadata, extensive citation data, and the full texts of books and articles to generate terminology; using a range of tools and terminology services to further enrich the data; and exploiting the results within a sophisticated digital library search and presentation environment.

The successful candidate will need to demonstrate a strong working knowledge of open source and proprietary text mining and language processing tools within the context of web-based development and publishing. Experience of working in a multidisciplinary environment or on digital humanities project will be an advantage.

The post is for 12 months in the first instance, but there may be potential for the successful candidate to work on further phases or projects so experience in, or knowledge of, development of generic web and database applications would be desirable.

Further enquiries should be addressed to David Roberts (dar60@cam.ac.uk) or Grant Young (gy219@cam.ac.uk).

Applications, including a completed CHRIS/6 form which can be downloaded from our website www.lib.cam.ac.uk/Vacancies, covering letter and CV, should be returned to the Library Personnel Officer either electronically to jobs@lib.cam.ac.uk or by post (but not both) to the Library Personnel Officer, Cambridge University Library, West Road, Cambridge, CB3 9DR and should arrive no later than 5 pm on the closing date.

Interviews will be held on Tuesday 18 December 2012

Quote Reference: VE23642,

Closing Date: 13 December 2012