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UNIVERSITY OF MANCHESTER
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Description
TEXT MINING RESEARCH POSITION One Research Associate is required for an EC 6th Framework Information Society Technologies collaborative project entitled: Bootstrapping of Ontologies and Terminologies (www.bootstrep.eu) The project aims at building reusable wide-coverage lexical, conceptual and factual knowledge resources for the biology domain, to support text mining. This involves both exploiting existing terminological resources and automatically acquiring new terms and concepts and associated linguistic information from the vast amount of literature. The main functions of the Research Associate are to work in relevant aspects of natural language processing, text mining, machine learning, terminology and ontological engineering, including: * Gathering, normalising and categorising terminologies from bioinformatics databases and linking them to textual resources using automated text mining means * Populating a bio-lexicon using a combination of machine learning based text mining techniques * Populating a bio-ontology using a combination of lexical and statistical methods * The software infrastructure needed for text analysis which will allow ease of integration of components, pipelining of components and definition of workflows in a GRID environment The duration of the post is 24 months from 1st June 2006 or asap after this date. Salary will be within the range of £20,842 - £30,607 per annum The successful candidate will work in a local team with 2 other researchers, and will also work closely with the National Centre for Text Mining (http://www.nactem.ac.uk) and with researchers from the Manchester Interdisciplinary Biocentre (http://www.mib.ac.uk). Some European travel may be required to attend project meetings. Applicants must have a postgraduate degree (preferably a PhD) or equivalent research experience with emphasis in text mining or a related topic. Candidates should also have a good working knowledge of natural language processing and good programming skills. Knowledge of ontologies or machine learning techniques would be an advantage. Further particulars and details of how to apply are available at: http://www.man.ac.uk/news/vacancies/research.html#HUM60077 Closing date: 26 May 2006 Informal enquiries to: Dr Sophia Ananiadou on +44 (0)161 306 3092 or email Sophia.Ananiadou@manchester.ac.uk Please quote reference HUM/60077 in all correspondence.
Contact address
Sophia.Ananiadou@manchester.ac.uk
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Supported by EU project Esprit No. 29288, University of Magdeburg and GMD © ECSC - EC - EAEC, Brussels-Luxembourg, 2000