Eurizon.eu

Organization: University of Sheffield

Location: Sheffield, UK

Field: Computer Science

Requirements:

Candidates should have a First Class Honours or a good 2.1 degree in Computer Science or Mathematics and have excellent computer programming skills. Experience with machine learning techniques for natural language processing is essential, and detailed knowledge of text summarisation and/or user modelling would be highly desirable. Research experience with Facebook, Twitter, and other social media would also be desirable, but is not strictly necessary, as would be knowledge of GATE.

Abstract:

Applications are invited for a fully funded PhD studentship on statistical natural language processing

Description:

The aim of this studentship is to design machine learning methods to better capture information about the user from their social media activities and then use that information to summarise relevant new social media content. This research topic falls in the broader area of Natural Language Processing (NLP), where Sheffield University has established an internationally-leading reputation. In particular, through their widely-used GATE NLP toolkit (http://gate.ac.uk) which provides many indispensable tools for working with large unstructured text collections, including semantic search, information extraction and translation. The studentship will be associated with Dr. Bontcheva's EPSRC-funded career acceleration fellowship, details on which can be found at http://www.dcs.shef.ac.uk/~kalina/caf.html
 
The grant will cover all study fees for UK nationals and a living stipend for three years of £13290 p.a. for UK nationals. The project will also provide travel funds for the student to attend international conferences.
For further information please contact Dr Kalina Bontcheva (K.Bontcheva@dcs.shef.ac.uk ) and Dr Trevor Cohn (tcohn@dcs.shef.ac.uk).
Applicants should apply using the online application form at:
http://www.shef.ac.uk/postgraduate/research/apply

Deadline: 04-03-2011

Contacts:

Link: http://www.shef.ac.uk/postgraduate/research/apply

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