Research position at the National Centre for Text Mining (www.nactem.ac.uk) in collaboration with Pfizer
School of Computer Science, University of Manchester
Applications are invited for a Research Associate in biotext mining for a period of 12 months. The post is available from 1st April 2008. The candidate will work within a project funded by Pfizer. The overall aim of the project is to develop named entity recognisers for biotext mining applications. The project will extend and customise NaCTeM's tools and services such as TerMine and AcroMine, to support text mining research at Pfizer. The successful candidate will be part of a strong and dynamic team in biotext mining, and will work closely with the co-located team of the National Centre for Text Mining (www.nactem.ac.uk) which is hosted by the School of Computer Science.
Applicants should have a good relevant first degree (minimum 2:1), an MSc in Computer Science, and preferably a PhD in a text mining area. They should not be still studying for a degree. They should have excellent software engineering skills; have the ability to develop algorithms and software for NLP/TM systems; the ability to produce experiments for biotext mining applications using large data sets; excellent knowledge of text mining using machine learning techniques and in particular named entity recognition, disambiguation, information extraction for biomedical applications; excellent knowledge of C, C++, Java, XML, Windows, Linux and Web Services. A good publication record would be an advantage. Successful candidates should ideally have research project experience in the areas of biomedical named entity recognition and disambiguation.
For more information see the following website:
http://www.staffnet.manchester.ac.uk/employment/jobs/research/vacancy/index.htm?ref=131689
Closing date for applications: 27th February 2008
Informal enquiries should be made to Dr Sophia Ananiadou.
Please quote reference: EPS/80057
Applications are invited for a Research Associate in biotext mining for a period of 12 months. The post is available from 1st April 2008. The candidate will work within a project funded by Pfizer. The overall aim of the project is to develop named entity recognisers for biotext mining applications. The project will extend and customise NaCTeM's tools and services such as TerMine and AcroMine, to support text mining research at Pfizer. The successful candidate will be part of a strong and dynamic team in biotext mining, and will work closely with the co-located team of the National Centre for Text Mining (www.nactem.ac.uk) which is hosted by the School of Computer Science.
Applicants should have a good relevant first degree (minimum 2:1), an MSc in Computer Science, and preferably a PhD in a text mining area. They should not be still studying for a degree. They should have excellent software engineering skills; have the ability to develop algorithms and software for NLP/TM systems; the ability to produce experiments for biotext mining applications using large data sets; excellent knowledge of text mining using machine learning techniques and in particular named entity recognition, disambiguation, information extraction for biomedical applications; excellent knowledge of C, C++, Java, XML, Windows, Linux and Web Services. A good publication record would be an advantage. Successful candidates should ideally have research project experience in the areas of biomedical named entity recognition and disambiguation.
For more information see the following website:
http://www.staffnet.manchester.ac.uk/employment/jobs/research/vacancy/index.htm?ref=131689
Closing date for applications: 27th February 2008
Informal enquiries should be made to Dr Sophia Ananiadou.
Please quote reference: EPS/80057
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