23.2999, Jobs: Comp Ling: Researcher, University of Aberdeen

[linguist at linguistlist.org]

LINGUIST List: Vol-23-2999. Tue Jul 10 2012. ISSN: 1069 - 4875.

Subject: 23.2999, Jobs: Comp Ling: Researcher, University of Aberdeen

Moderators: Anthony Aristar, Eastern Michigan U <aristar at linguistlist.org>
            Helen Aristar-Dry, Eastern Michigan U <hdry at linguistlist.org>

Reviews: Veronika Drake, U of Wisconsin Madison
Monica Macaulay, U of Wisconsin Madison
Rajiv Rao, U of Wisconsin Madison
Joseph Salmons, U of Wisconsin Madison
Anja Wanner, U of Wisconsin Madison
       <reviews at linguistlist.org>

Homepage: http://linguistlist.org

Do you want to donate to LINGUIST without spending an extra penny? Bookmark
the Amazon link for your country below; then use it whenever you buy from
Amazon!

USA: http://www.amazon.com/?_encoding=UTF8&tag=linguistlist-20
Britain: http://www.amazon.co.uk/?_encoding=UTF8&tag=linguistlist-21
Germany: http://www.amazon.de/?_encoding=UTF8&tag=linguistlistd-21
Japan: http://www.amazon.co.jp/?_encoding=UTF8&tag=linguistlist-22
Canada: http://www.amazon.ca/?_encoding=UTF8&tag=linguistlistc-20
France: http://www.amazon.fr/?_encoding=UTF8&tag=linguistlistf-21

For more information on the LINGUIST Amazon store please visit our
FAQ at http://linguistlist.org/amazon-faq.cfm.

Editor for this issue: Svetlana Tchistiakova <svetlana at linguistlist.org>
================================================================  


Date: Tue, 10 Jul 2012 11:10:37
From: Chris Mellish [c.mellish at abdn.ac.uk]
Subject: Computational Linguistics: Researcher, University of Aberdeen, Aberdeen, Scotland, United Kingdom

E-mail this message to a friend:
http://linguistlist.org/issues/emailmessage/verification.cfm?iss=23-2999.html&submissionid=4549594&topicid=7&msgnumber=1
 
University or Organization: University of Aberdeen 
Department: School of Natural and Computing Sciences
Job Location: Aberdeen, United Kingdom 
Web Address: http://www.abdn.ac.uk/ncs/research/
Job Rank: Researcher  

Specialty Areas: Computational Linguistics 


Description:

To support our ambitious research programme we are looking to appoint a 
postdoctoral research fellow to do research on natural language generation in 
the MIME project. MIME (see http://www.dotrural.ac.uk/mime/ ) investigates 
ways to underpin reconfigured rural emergency response services, by 
examining how technology could support responders to incidents such as 
road accidents. It is exploring the use of networked monitors to support 
decision making and information management in the management of 
casualties and the automatic generation of handover reports from responders 
when more expert help arrives.

The successful candidate will have a good knowledge of natural language 
processing techniques in general (at the postgraduate level) and preferably 
some practical experience with NLG. The candidate will have a PhD or be 
about to complete a PhD in Computer Science/ Artificial Intelligence or a 
relevant discipline. Enthusiasm for digital technology and innovation relevant 
to society and the economy is essential as is the ability to work in a cross-
disciplinary team including colleagues in computer science and engineering.

This post is funded by the EPSRC and it is anticipated that the project 
activities will be completed within 9 months of the agreed start date. This 
appointment will be made subject to the usual terms and conditions of 
employment of the University.

Criteria
- An undergraduate or Masters degree in Computer Science or a related 
discipline.
- A PhD degree in Computer Science/ Artificial Intelligence or a relevant 
discipline (or be in the final stages of completion)
- Good knowledge of natural language processing techniques in general, at 
the postgraduate level.
- Experience of delivering presentations and disseminating research.
- Experience of report writing and/or authorship of academic journal papers.
- Enthusiasm for innovation relevant to society and industry.
- Ability to work on own and with others.
- Excellent organisational and written and oral communication skills, including 
electronic communication.
- Flexible approach.
- Fluency in written and spoken English is essential to support public 
engagement activities.

To apply:
Visit http://www.abdn.ac.uk/jobs/index.php and select External Applicants 
and then search for the post with reference number 1260664.


Application Deadline: 23-Jul-2012 
	  
Web Address for Applications: http://www.abdn.ac.uk/jobs/index.php 
Contact Information:
	Chris Mellish 
	Email: c.mellish at abdn.ac.uk 





----------------------------------------------------------
LINGUIST List: Vol-23-2999	
----------------------------------------------------------