SCHOOL OF INFORMATICS
POST-DOCTORAL RESEARCH ASSOCIATE IN TEXT MINING FOR BIOLOGY

TheSchool of Informatics of the University of Manchester inviteapplications for a postdoctoral research post in the area of TextMining for biology. The post is part of a BBSRC-funded project “ Mining term associations from literature to support knowledge discovery in biology ”which aims to use text mining and machine learning techniques to assistscientists in extracting knowledge from the literature. Researchundertaken within this project is closely related to the activities ofthe National Centre for Text Mining (NaCTeM) and the ManchesterInterdisciplinary Biocentre (MIB).

The successfulcandidate will preferably have (or be about to obtain) a PhD incomputer science, bioinformatics or a related discipline, and will haverelevant research experience in machine learning, text and data mining,shallow and statistical NLP, or information extraction. Goodprogramming skills (in C, C++, Java or Perl), as well as experiencewith XML, SQL and UNIX are highly desirable.

The appointment is for up to 36 months, starting from October 1, 2005 or shortly thereafter.

Salary:
range £19,460 - £29,128 p.a. dependant upon experience.

Informal enquiries:
Dr Goran Nenadic
Tel: 0161-30-65936; email: G.Nenadic@manchester.ac.uk

The following are available in pdf format:
Further particulars - ref HUM/223/05
Application form (also in RTF format)
For further information on the University see www.manchester.ac.uk/  

Application forms and further particulars are also available from:
Mrs Jill Lee-Borrett
School of Informatics
The University of Manchester
PO Box 88
Sackville Street
Manchester
M60 1QD

Email: J.Lee-Borrett@manchester.ac.uk

Please quote reference:
HUM/223/05

Closing date:
15 September 2005

Interviews:
23 September 2005

Reference:
http://www.man.ac.uk/news/vacancies/research.html#HUM223