Job: Deep neural networks for statistical machine translation, several positions available (Postdoc, PhD, engineers, etc), France

[Thierry Hamon]

Date: Mon, 10 Feb 2014 22:06:10 +0100
From: Holger Schwenk <holger.schwenk at lium.univ-lemans.fr>
Message-ID: <52F93F42.7090004 at lium.univ-lemans.fr>


During the last years, there have been several breakthroughs in the use
of neural networks for natural language processing, in particular using
deep architectures.

The computer science laboratory of the University of Le Mans (LIUM) is
working since many years on statistical machine translation (SMT), and
we were among the first researchers to successfully use neural networks,
for instance continuous space language and translation models.

We want to substantially increase our research efforts in this area,
hoping to achieve a significant advances in SMT. Our goal is to build
state-of-the-art large scale SMT systems using deep neural networks.

In this major research effort, we have openings at different levels
  - postdoc positions
  - PhD positions
  - short term visits with a well focused research project
  - engineers

The candidates are expected to have demonstrated knowledge in at least 
one of the following fields:
  - neural networks (feed-forward, recurrent NN, deep learning, etc).
  - statistical machine translation
  - efficient implementation of machine learning algorithms (GPU, MPI,
    etc)

The positions are immediately available. Applications are accepted until
the positions are filled.  Initial appointment is for one year,
renewable for up to three years.  Competitive salaries are available,
including health care and other social benefits, travel support, etc.
The working language is English or French.

LIUM is participating in several international projects, financed by the
European Commission, DARPA and the French government.  We collaborate
with leading research groups in USA and Europe.

A large computer cluster is available to support the research (700 CPU
cores with a total of 6 TBytes of memory and more than 250 TBytes of
RAID disk space).  We also own a cluster with 30 Tesla K20 and K40 GPU
cards, connected by a fast Infiniband network.

Le Mans is located in between Paris and the Atlantic ocean. Both can be
reached in about 1 hour by high speed train. The Loire valley with many
wineries and other attractions is just a short drive away ...

Applications should include an CV, a list of publications and the name
of two references.  We will invite interesting candidates for further
discussions.

For more information, please contact Holger Schwenk by email:
Holger.Schwenk at lium.univ-lemans.fr