22.1924, Support: Computational Linguistics: PhD Student, Queen Mary, U. of London

Wed May 4 14:40:31 UTC 2011

LINGUIST List: Vol-22-1924. Wed May 04 2011. ISSN: 1068 - 4875.

Subject: 22.1924, Support: Computational Linguistics: PhD Student, Queen Mary, U. of London

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1)
Date: 03-May-2011
From: Matthew Purver [m.purver at qmul.ac.uk]
Subject: Computational Linguistics: PhD Student, Queen Mary, University of London, United Kingdom

-------------------------Message 1 ---------------------------------- 
Date: Wed, 04 May 2011 10:39:05
From: Matthew Purver [m.purver at qmul.ac.uk]
Subject: Computational Linguistics: PhD Student, Queen Mary, University of London, United Kingdom

E-mail this message to a friend:
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Institution/Organization: Queen Mary, University of London 
Department: Electronic Engineering and Computer Science 
Web Address: http://www.eecs.qmul.ac.uk 

Level: PhD 

Duties: Research

Specialty Areas: Computational Linguistics 
Natural Language Processing, Dialogue Processing, Information Retrieval 

Description:

PhD Studentship in Interaction Mining
Queen Mary, University of London - School of Electronic Engineering and 
Computer Science

http://www.jobs.ac.uk/job/ACL803/phd-studentship-in-interaction-mining/

Applications are invited for a PhD Studentship starting in September 2011 to 
undertake research in the area of interaction mining: automatically extracting 
useful information from human conversational interaction. The studentship is 
based at the School of Electronic Engineering and Computer Science at Queen 
Mary, University of London and will be supervised by Dr. Matthew Purver 
(http://www.eecs.qmul.ac.uk/~mpurver/) of the Interaction Media and 
Communication research group and Dr Tassos Tombros 
(http://www.eecs.qmul.ac.uk/~tassos/) of the Risk and Information Management 
research group.

The successful candidate will perform research at the interface between dialogue 
processing and information retrieval, combining rule-based models of dialogue 
structure with robust statistical methods to automatically detect and summarise 
events in conversation: decisions made in business meetings, answers to 
questions in radio broadcasts, agreements and disagreements in social media and 
so on. 

Candidates should have a first or upper second (2:1) honours degree or equivalent 
in Computer Science, Electronic Engineering, Mathematics, Physics, or a related 
field, and be able to demonstrate strong mathematical and analytical skills. Good 
programming skills and a background in natural language processing, 
computational linguistics or information retrieval are also required.

The studentship funded by EECS Studentship will cover student fees and a tax-
free stipend starting at £15,590 per annum and is available to candidates of all 
nationalities. 

Informal enquiries can be made by email to Dr. Matthew Purver 
(m.purver at qmul.ac.uk).

Information about the school and its research areas can be found at 
www.eecs.qmul.ac.uk; more details of the IMC and RIM research groups are 
available at www.dcs.qmul.ac.uk/researchgp/imc/ and 
www.dcs.qmul.ac.uk/researchgp/ir/. 

To apply please email the following documents to Dr. Matthew Purver 
(m.purver at qmul.ac.uk) : a completed application form, a CV listing all 
publications, your representative publications in PDF format, 3 reference letters, a 
research statement and other relevant documents as requested (see 
www.qmul.ac.uk/postgraduate/apply/). These documents must also be submitted 
online following the instructions given in the link.

The closing date for the applications is 16th. May 2011.

Interviews are expected to take place during w/c  30th. May 2011. 

Application Deadline: 16-May-2011 

Web Address for Applications: http://www.jobs.ac.uk/job/ACL803/phd-studentship-in-interaction-mining/ 

Contact Information: 
	Dr Matthew Purver 
	m.purver at qmul.ac.uk  

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