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<div class="moz-text-html" lang="x-western"> <b>PhD Studentship on
Machine Learning Methods for User Modelling and Personalised
Summarisation</b><br>
<br>
<i>Department of Computer Science, University of Sheffield</i><br>
<br>
<a class="moz-txt-link-freetext"
href="http://www.findaphd.com/search/ProjectDetails.aspx?PJID=35209&LID=1772">http://www.findaphd.com/search/ProjectDetails.aspx?PJID=35209&LID=1772</a><span
id="lblDescription" style="font-weight: normal;"><br>
<br>
Applications are invited for a 3-year PhD studentship on
statistical natural language processing. Deadline: 31 December
2011.<br>
<br>
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 (<a class="moz-txt-link-freetext"
href="http://gate.ac.uk">http://gate.ac.uk</a>) which provides
many indispensable tools for working with large unstructured
text collections, including semantic search, information
extraction and translation. <br>
<br>
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. <br>
</span>
<div id="divFundingNotes"> <br>
<h3>Funding Notes:</h3>
<br>
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. <br>
<br>
</div>
<br>
<h3>References:</h3>
<br>
<span id="lblReferences" style="font-style: italic;">Dr Kalina
Bontcheva’s homepage <a class="moz-txt-link-freetext"
href="http://www.dcs.shef.ac.uk/%7Ekalina">http://www.dcs.shef.ac.uk/~kalina</a>
<br>
<br>
Dr Trevor Cohn’s homepage <a class="moz-txt-link-freetext"
href="http://www.dcs.shef.ac.uk/%7Etcohn">http://www.dcs.shef.ac.uk/~tcohn</a>
<br>
<br>
NLP research group <a class="moz-txt-link-freetext"
href="http://nlp.shef.ac.uk/">http://nlp.shef.ac.uk/</a> <br>
<br>
Machine Learning research group <a
class="moz-txt-link-freetext"
href="http://www.dcs.shef.ac.uk/ml">http://www.dcs.shef.ac.uk/ml</a>
</span><br>
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