TEXT MINING RESEARCH POSITION AT THE UNIVERSITY OF MANCHESTER

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 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).

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.

If you are interested in applying please contact Dr Sophia Ananiadou for 
further details on +44 (0)161 306 3092 or email 
Sophia.Ananiadou@xxxxxxxxxxxxxxxx 

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Dr Sophia Ananiadou, Reader in Text Mining, School of Informatics, University 
of Manchester
Tel: +44 161 306 3092
http://personalpages.manchester.ac.uk/staff/sophia.ananiadou/

Deputy director, National Centre for Text Mining  http://www.nactem.ac.uk