[Corpora-List] [Jobs] Postdoc, Statistical Machine Translation, LIMSI/CNRS Orsay (France)

[Francois Yvon]

[apologies for cross-posting]

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POST-DOC OPENING
IN STATISTICAL MACHINE TRANSLATION
AT LIMSI-CNRS, FRANCE
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The "Spoken Language Processing" team at LIMSI-CNRS, Orsay (25 km south of
Paris) is seeking qualified postdoctoral researchers in the field of Statistical
Machine Translation (SMT).

The main task of the candidate will be to design, implement and evaluate
innovative models and associated training and inference procedures for
components of statistical machine translation systems. These models will be used
to improve LIMSI's machine translation toolbox. Other areas in which we have a
strong interest are model adaptation, confidence measures and automatic
evaluation metrics.
The successful candidate will join a dynamic research team working on various
aspects of SMT.  See http://www.limsi.fr/Scientifique/tlp/mt for information
regarding our activities.

Candidates are expected to hold an Engineering BSc/Msc degree and a PhD in
Computer Science. Knowledge of statistical  or example-based approaches for
Speech or Natural Language Processing is required; the candidate is also
expected to have strong programmation skills, to be familiar with statistical
machine learning techniques, and have a good publication record in the
field. Experience with statistical machine translation systems and/or
participation in large-scale open evaluations (NIST, IWSLT etc.) will be a
strong advantage.

The minimum remuneration will be EUR 2000 (net income) per month. A
contract of one year will be awarded.

Interested candidates should send a short cover letter stating motivation and
interests, along with their CV (in .pdf format, only) to the email address given
below as soon as possible and by dec 31th 2012 at the latest. Questions or other
clarification should be directed to the same address.

Application Deadline: 31-dec-2011 [the position(s) will remain open until filled]

Email Address for Applications: yvon at limsi dot fr

Contact Information:
Prof. F. Yvon
Phone: +331-69858066


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