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 a 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, plus tuition fee at EU/UK rate. Applications restricted to UK/EU citizens.
Start date for studentship: September 2011
To apply, please email Sophia.Ananiadou at manchester.ac.uk your CV listing any publications, 3 reference letters and a research statement. Closing date for applications: 21st May 2011.
Professor Sophia Ananiadou, School of Computer Science, Director, National Centre for Text Mining, Manchester Interdisciplinary Biocentre University of Manchester 131 Princess Street, M1 7DN www.nactem.ac.uk sophia.ananiadou at manchester.ac.uk tel: +44 161 306 3092
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