16 August: fyi -- phd funding, UK
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University of Manchester, School of Computer Science, National Centre
for Text Mining
This three year studentship will be based at the School of Computer
Science, University of Manchester and is part of a collaboration
between the National Centre for Text Mining (www.nactem.ac.uk
) and Lhasa ltd
(https://www.lhasalimited.org/).Toxicity prediction is becoming
increasingly important in a variety of industrial and regulatory
settings. Publicly available toxicity data sources as well as
structure-searchable databases of toxicity data are important for the
development of toxicity prediction models.
The aim of this studentship is to carry out original research into the
development and adaptation of text mining tools for analysing toxicity
data, such as named entity recognisers for small molecules, toxic
agents, doses, species, and relations reporting on types of toxicity
and associations between the above entities.The student will be
supervised by Prof. Sophia Ananiadou and will work in areas such as
domain adaptation, techniques for named entity recognition,
disambiguation, event extraction using machine learning techniques and
deep parsing.
**The successful candidate will have a good honours degree (ideally
first class) in computer science, natural language processing, or a
related discipline. Excellent programming skills (Java, C, C++), and
experience in natural language processing, parsing techniques,
disambiguation are a must. Experience in machine learning will be an
advantage*.*
£13,570 maintenance per annum, up to £5,000 for conference-related
travel, plus tuition fee at UK/EU rate. Applications restricted to
UK/EU citizens.
Start date for studentship: September/October 2011**
To apply, please email Sophia.Ananiadou@manchester.ac.uk
your CV, listing any
publications, together with 3 reference letters and a research
statement.
Closing date for applications: 5th September 2011.
--
Paul Thompson
Research Associate
School of Computer Science
National Centre for Text Mining
Manchester Interdisciplinary Biocentre
University of Manchester
131 Princess Street
Manchester
M1 7DN
UK
Tel: 0161 306 3091
http://personalpages.manchester.ac.uk/staff/Paul.Thompson/
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