5 May: fyi -- corpus based terminology research, Manchester
Index of May 2006 | Index of year: 2006 | Full index
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@manchester.ac.uk
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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
Index of May 2006 | Index of year: 2006 | Full index