ONE POST IN TEXT MINING - SUMMARISATION - University of Manchester,
School of Informatics
One Research Associate is required for a JISC funded project entitled,
Automatic Summarisation for Systematic Reviews using Text Mining
(ASSERT). The project forms part of the work of the National Centre for
Text Mining, within social science applications.
The Research Associate will develop methods for locating relevant
studies for input to a systematic review using a combination of text
mining techniques and will apply a suite of text mining tools that will
support novel methods of information management in the domain of social
science systematic reviews.
The successful candidate will be part of the growing team of researchers
associated with the National Centre for Text Mining
http://www.nactem.ac.uk and will be located at the Manchester
Interdisciplinary Biocentre http://www.mib.ac.uk.
Applicants should have a first degree in Computer Science or a closely
related field, and a postgraduate degree in Computer Science preferably
in text mining and summarisation. Experience should include developing
algorithms and software for NLP/TM systems, summarisation, clustering,
the ability to produce experiments for text mining applications using
large data sets, and excellent knowledge of C, C++, Java, SML, Windows
and Linux.
Enquiries should be made to Dr Sophia Ananiadou, on +44 (0)161
306 3092 or email Sophia.Ananiadou@manchester.ac.uk
Further details are available at:
http://www.manchester.ac.uk/aboutus/jobs/research/vacancy/index.htm?ref=
7325
REF: HUM/60165
Starting immediately, for a period of two (2) years.
Closing date: 25th August 2006
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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
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