[Elsnet-list] PhD Studentship on Machine Learning Methods for User Modelling and Personalised Summarisation

Kalina Bontcheva K.Bontcheva at dcs.shef.ac.uk
Thu Nov 3 23:28:07 CET 2011

*PhD Studentship on Machine Learning Methods for User Modelling and 
Personalised Summarisation*

/Department of Computer Science, University of Sheffield/


Applications are invited for a 3-year PhD studentship on statistical 
natural language processing. Deadline: 31 December 2011.

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 

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.

      Funding Notes:

The grant will cover all study fees for EU and UK nationals only and a 
living stipend for three years. The stipend will provide £13290 p.a. for 
UK nationals or approximately £9000 p.a. for EU nationals.


Dr Kalina Bontcheva's homepage http://www.dcs.shef.ac.uk/~kalina

Dr Trevor Cohn's homepage http://www.dcs.shef.ac.uk/~tcohn

NLP research group http://nlp.shef.ac.uk/

Machine Learning research group http://www.dcs.shef.ac.uk/ml
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