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Two Research Associate positions in Natural Language Processing are
now open for applications at the University of Sheffield. For
further details, or to apply, please visit<br>
<br>
<a
href="http://www.jobs.ac.uk/job/AHL017/research-associate-in-natural-language-processing/">http://www.jobs.ac.uk/job/AHL017/research-associate-in-natural-language-processing/</a><br>
<br>
and click the "Apply" button at the bottom.<br>
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Job Reference Number: <span style="font-size: 12.000000pt;
font-family: 'TUOSBlake'"> UOS007344 </span> <br>
Contract Type: Fixed-term for 24 months<br>
Faculty: Faculty of Engineering<br>
Department: Department of Computer Science<br>
Salary: Grade 7 £28,685 - £36,298 per annum.<br>
Closing Date: <span style="font-size: 12.000000pt; font-family:
'TUOSBlake'">8th November 2013 </span> (applications after this
date may be considered, depending on response)<br>
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The Departments of Computer Science and Journalism have two
positions for Research Associates in Natural Language Processing.
The positions are supported by the externally funded SENSEI research
project, supported by the European Commission as part of FP7.<br>
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The SENSEI project is a multi-site, multi-disciplinary project
involving researchers in language processing and journalism and
industrial partners in the call centre, social media monitoring and
news media businesses. The project aims to develop novel methods to
extract, summarize/aggregate and present information from very large
volumes of conversational data, specifically, transcriptions of call
centre conversations and reader comment in on-line news. It
addresses the new area of conversation analytics. While Sheffield
will participate in all aspects of the project, we have specific
responsibilities for work on summarization and on defining, in
conjunction with journalists and news organizations, the
requirements for the reader comment scenario and creating a gold
standard reference corpus of comment thread summaries.<br>
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Given the project’s aims, a strong background in natural language
processing (NLP)/computational linguistics (CL) is essential, as is
knowledge of machine learning based techniques as used in NLP/CL.
Strong programming skills in Java and Python are also essential.
Experience with some or all of the following specific sub-areas in
NLP/CL is desirable: information extraction/text mining, NL
generation/summarisation, dialogue understanding. As at least one of
the applicants will need to work with journalists to define the
reader comment scenario and manage the creation of gold standard
data for it, experience with user requirements gathering and with
creating annotated corpora for evaluation within NLP is highly
desirable. The successful candidates will have strong publication
track records, commensurate with their level of experience, and
experience with multi-site collaborative projects.<br>
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This is an opportunity to work in a well-connected international
team with world-leading reputations in Natural Language Processing.
The NLP at Sheffield group is well known internationally for its
research, and is one of the largest research groups in computational
linguistics and text engineering in the UK. The Sheffield journalism
department draws for its research on its members wide experience of
UK and international practice in newspapers, magazines, broadcasting
and online publications. <br>
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This post is fixed-term for 24 months, in the first instance.
Applications after the closing date (November 8, 2013) may be
considered, depending on the level of response.<br>
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