[Corpora-List] Postdoctoral position in Statistical Machine Translation

Mon Jan 19 09:41:47 UTC 2009

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POST-DOC OPENING
IN SPOKEN LANGUAGE PROCESSING & STATISTICAL MACHINE TRANSLATION
AT LIMSI-CNRS, FRANCE
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The "Spoken Language Processing" team at LIMSI-CNRS (30 km south of Paris) seeks
immediately one qualified postdoctoral researcher in the field of Statistical
Machine Translation.

Job Rank: Post Doc

Specialty Areas: Statistical Methods for Machine Translation

Description:

Announcing opening in the area of Data-Driven Machine Translation at the
LIMSI/CNRS in Spoken Language Processing Group in Orsay, France.

The task of the post-doc candidate will be to devise, implement and evaluate
discriminative learning models for sub-components of statistical machine
translation systems. We are primarily interested with discriminative learning
models for word alignement and for word reordering. These models will be used to
improve LIMSI's Machine Translation tools.

The candidates are expected to have an Engineering BSc/Msc degree and a PhD in
Computer Science. Excellent knowledge of Example-Based or Statistical approaches
to Speech or Natural Language Processing. The successful candidate will be a
strong programmer, have a track record in machine learning, and have a good
publication record in this field. Experience with statistical machine
translation systems and/or participation in large-scale open evaluations (NIST,
IWSLT etc.) would be a distinct advantage.

The minimum remuneration will be EUR 1900 (net income) per month. The position
are open from 15th Jan 2009. A contract of one year will be awarded.

Interested candidates should send a short letter of motivation, along with their
CV (in .pdf format, only) to the email address given below as soon as possible
and by Feb 15th 30th at the latest. Questions or other clarification should be
emailed to the same address.

Application Deadline: 15-Feb-2009 (Open until filled)

Email Address for Applications: yvon at limsi dot fr

Contact Information:
Prof. Francois Yvon
Phone: +331-69858066
http://www.limsi.fr/Scientifique/tlp/
http://www.limsi.fr/Individu/yvon/

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