[Corpora-List] Text mining research associate--National Centre for Text Mining and AstraZeneca

[Sophia Ananiadou]

Applications are invited for a Research Associate in text mining for a period of 36 months. The post is available from 1st June 2009. The candidate will work within a project funded by BBSRC on Automated Biological Event Extraction from the Literature for Drug Discovery in cooperation with AstraZeneca.

The aims of the project are to customize deep semantic text mining techniques to extract protein-bioprocess associations automatically; to extract biological events pertaining to protein-disease associations from the literature; to support the semi-automatic production of annotated texts pertaining to biological information for text mining applications; and to produce a text mining service supporting biologists researching into protein-bioprocesses.

The project will extend and customise the National Centre for Text Mining tools to support bio-text mining research. The successful candidate will be part of a strong and dynamic team of 16 people in text mining and will work closely with the co-located team of the National Centre for Text Mining which is hosted by the School of Computer Science. 
The School of Computer Science is a leading centre for research in Computer Science nationally and internationally. 

Applicants must have a PhD in Computer Science and a good first degree (minimum 2:1) in an area relevant to the job description; they must have excellent software engineering skills and be able to develop algorithms and software for NLP/TM systems; the ability to produce experiments for bio-text mining applications using large data sets; excellent knowledge of text mining preferably using machine learning techniques and in particular event recognition, parsing technologies, named entity recognition, information extraction for biomedical applications; excellent knowledge of C, C++, Java, XML, Linux and Web Services. A good publication record would be an advantage.

Successful candidates should have research experience in the areas of bio-text mining, named entity recognition, parsing technologies and information extraction.

For more information see the following website(s):

*	http://www.cs.manchester.ac.uk/aboutus/news/archives/2008/12-18-08_RAE/
*	www.nactem.ac.uk <http://%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20www.nactem.ac.uk> 

Closing date: 15/04/2009
Reference: EPS/90378

http://www.manchester.ac.uk/aboutus/jobs/research/vacancy/index.htm?ref=153075

Informal enquiries to: Sophia Ananiadou 

 

 

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Dr Sophia Ananiadou, Reader in Text Mining, School of Computer Science

Director, National Centre for Text Mining, www.nactem.ac.uk <http://www.nactem.ac.uk> 

Manchester Interdisciplinary Biocentre, www.mib.ac.uk <http://www.mib.ac.uk> ,

University of Manchester

131 Princess Street, M1 7DN

http://personalpages.manchester.ac.uk/staff/sophia.ananiadou/ <http://personalpages.manchester.ac.uk/staff/sophia.ananiadou/>  

sophia.ananiadou at manchester.ac.uk <mailto:sophia.ananiadou at manchester.ac.uk>  

tel: +44 161 306 3092

 

 

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