| 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
[email protected]
Please quote reference HUM/60077 in all correspondence.
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