دکترا و پسا دکترا در زمینه ترجمه ماشینی و شبکههای عصبی در فرانسه ۲۰۱۴
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@lium.univ-
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@lium.univ-
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