Job: Postdoctoral Research Fellow/Senior Research, QALL-ME project, Wolverhampton, UK

Thierry Hamon thierry.hamon at LIPN.UNIV-PARIS13.FR
Fri Nov 24 14:54:18 UTC 2006


Date: Tue, 21 Nov 2006 15:57:35 +0000
From: Constantin Orasan <C.Orasan at wlv.ac.uk>
Message-Id: <1164124655.7101.19.camel at localhost.localdomain>
X-url: http://clg.wlv.ac.uk/jobs/app_form_jobs.pdf
X-url: http://clg.wlv.ac.uk
X-url: http://www.wlv.ac.uk/~in6093/


[apologies for cross posting]

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Postdoctoral Research Fellow/Senior Research Fellow in QALL-ME project

Salary £19,430 - £25,184* pa or £29,211 - £37,521* pa (level of
appointment dependent on qualifications and experience)
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Applications closing date: 15th December 2006
Start date: no later than 1st March 2007
Reference: A4642
Salary: £19,430 - £25,184* pa or £29,211 - £37,521* pa (level of
appointment dependent on qualifications and experience) 

As postdoctoral research fellow/senior research fellow you will work
on a EU funded project to develop a system for question answering
learning technologies in a multilingual and multimodal environment,
focusing on implementation of various components, as well as
evaluation of the system. This is a fixed contract for 30 months. You
should have a degree in computer science and a PhD in computational
linguistics or equivalent experience. Experience in Natural Language
Processing (NLP) techniques and programming are required, as well as
familiarity with Question Answering, Information Extraction and
Machine Learning techniques for language processing. Publications in
good journals, experience with grant applications and working with the
industry, native or near native proficiency in English are a plus. For
appointment at Senior Research Fellow level you will need to
demonstrate a very good publications record, grant applications
experience, and potential leadership qualities.

Required skills:
      * PhD or equivalent research experience/output in Computational
        Linguistics/Natural Language Processing
      * Experience with Question Answering and/or Information Extraction
      * Experience with at least one of the following programming
        languages C, C#, Perl or Java
      * Experience with machine learning for computational linguistics

Desirable skills:
      * Experience working with ontologies
      * Experience with database programming
      * Good journal publications

Applications should include a completed application form, CV, and
covering letter in which the candidates explain why they have applied
for the position and give details of their research
interests/experience and background. Candidates should also give the
names of three referees with their email addresses and telephone
numbers. The interviews are scheduled to take place in January 2007,
and the starting date as soon as possible after the interviews, but no
later than 1st March 2007.

For informal inquiries, please contact Mr. Constantin Orasan
(C.Orasan at wlv.ac.uk) or Prof. Ruslan Mitkov (R.Mitkov at wlv.ac.uk).
Applications to be sent to Personnel. If emailed, please cc to
C.Orasan at wlv.ac.uk.

For an application form, contact

    Personnel Services Department, 
    University of Wolverhampton, 
    Molineux Street, 
    Wolverhampton WV1 1SB
    Phone +44 (0) 1902 321049 (ansaphone), and quoting the reference number. 
    For hearing impaired candidates our Minicom number is +44 (0) 1902 321249. 
    Email address: per at wlv.ac.uk

The application form can also be downloaded from
http://clg.wlv.ac.uk/jobs/app_form_jobs.pdf.

The RESEARCH GROUP IN COMPUTATIONAL LINGUISTICS at the University of
Wolverhampton (http://clg.wlv.ac.uk)

Established by Prof. Mitkov in 1997, the Research Group in
Computational Linguistics is a highly successful one, delivering
cutting-edge research in a number of NLP areas such as anaphora
resolution, automatic abstracting, question answering, lexical
knowledge acquisition, text categorisation, named entity recognition,
information extraction, corpus construction and annotation, automatic
terminology processing, multilingual processing, and multiple-choice
question generation. To a large extent, this research has been
undertaken in projects funded by major UK funding bodies and
commercial partners.

-- 
Constantin Orasan <C.Orasan at wlv.ac.uk>
Lecturer in Computational Linguistics
Research Group in Computational Linguistics
http://www.wlv.ac.uk/~in6093/
University of Wolverhampton


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