The computer science laboratory of the University of Le Mans (LIUM)
(http://www-lium.univ-lemans.fr/en/content/language-and-speech-technology-lst)
was recently awarded two major international grants and we are seeking
to substantially expand the group working on statistical machine
translation.  The team currently consists of nine permanent, postdoc
and PhD researchers. We have funding to hire 4 to 6 postdocs or PhD
students.  We also consider applications from computer science
engineers with a proven record of developments in the field for
natural language processing.

These positions are funded in the range of 49 to 55K Euros for a
postdoc, depending on qualification and experience. Funding is
available immediately and for up to three years.

Topics of interest are (but not limited to):
  - adaptation techniques
  - discriminative and unsupervised training, comparable corpora, etc
  - use of new machine learning methods, e.g. continuous space
    techniques
  - syntax-based methods

Prerequisites:
The ideal candidate will have a strong background in statistical
modeling, machine learning, language processing and machine
translation.  Several years of experience in using UNIX environments,
including the standard script and programming languages is a necessary
condition.  Knowledge of the Moses decoder will be considered
favorably.  We are particularly interested in native speakers of
Arabic, Chinese or Pashto.

The research is supported by a large computing cluster owned by our
group. The working language is English.

Please send a CV and names and contact information of three referees
to Holger.Schwenk@lium.univ-lemans.fr. Inquiries should be sent to the
same address.  Applications are welcome from now until the positions
will be filled. Interviews at EMNLP/WMT in July in Edinburgh can be
arranged.