Job: Text mining research position, University of Manchester

Thierry Hamon thierry.hamon at LIPN.UNIV-PARIS13.FR
Wed May 17 07:29:26 UTC 2006

Date: Fri, 12 May 2006 17:20:35 +0100 (BST)
From: John McNaught <John.McNaught at>
Message-Id: <200605121620.k4CGKvWi017868 at>


One Research Associate is required for an EC 6th Framework Information
Society Technologies collaborative project entitled: Bootstrapping of
Ontologies and Terminologies ( 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

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 ( and with researchers from the
Manchester Interdisciplinary Biocentre ( 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:

Closing date: 26 May 2006

Informal enquiries to: Dr Sophia Ananiadou on +44 (0)161 306 3092 or
email Sophia.Ananiadou at

Please quote reference HUM/60077 in all correspondence.

John McNaught
Associate Director
National Centre for Text Mining

School of Informatics
University of Manchester      	mail: John.McNaught at
PO Box 88	           
Sackville Street          	tel: +44.161.306.3098
Manchester                	fax: +44.161.306.1281
M60 1QD				web:

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