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The Cross-Language Technologies (CLT) group of the Xerox Research Centre Europe has the mission of researching and developing the most effective methods for crossing language barriers. Targeted applications include Statistical Machine Translation (SMT), multilingual terminology extraction, Cross-Language Information Retrieval (CLIR), Categorization and Clustering (CLCC). The team is part of the PASCAL European Network of Excellence, and is coordinating the SMART European project on the use of machine learning methods for translation and cross-language textual information access (starting October 1st), ensuring a strong network of academic collaboration.
We are looking for a researcher with strong experience in Machine Learning to strengthen the CLT group. Responsibilities will include inventing, implementing and evaluating novel cross-language technologies, contributing to government funded and academic research projects, as well as contributing to setting and achieving the group's long-term research goals. Initially, we envisage research on:
- Breakthrough techniques for training statistical translation and language models
- Advanced latent-semantic representations of textual data
XRCE maintains a high level of publications and patents: we expect the successful candidate to be part of these efforts.
Applicants should possess a Ph. D. or equivalent in machine learning, optimization or statistics; experience in statistical machine translation is a definite plus. The successful candidate must have a serious interest in real-world applications and an inventive flair, coupled with the flexibility and initiative to pursue a dynamic array of research problems within a fast-working team. Excellent skills in algorithms and C++/C/Python/Perl/Matlab programming are required as well as good communication skills, particularly in English.
To apply: Please email your CV, a covering letter and sample publications, with message subject "Cross-Language Technologies Researcher" to
_CLOAKING
and to
_CLOAKING
Xerox Research Centre Europe (XRCE) is a young, dynamic research organization, which creates innovative new business opportunities for Xerox in the digital and Internet markets. XRCE is a multicultural and multidisciplinary organization set in Grenoble, France. We have renowned expertise in machine learning, work practice studies, image processing, natural language processing and document structure. The variety of both cultures and disciplines at XRCE makes it both an interesting and stimulating environment to work in, leading to often unexpected discoveries! XRCE is part of the Xerox Innovation Group made up of 550 researchers and engineers in four world-renowned research and technology centres.
The Grenoble site is set in a park in the heart of the French Alps in a stunning location only a few kilometers from the city centre. The city of Grenoble has a large scientific community made up of national research institutes (CNRS, Universities, INRIA, Minatec) and private industries. Grenoble is close to both the Swiss and Italian borders and is the ideal place for skiing, climbing, hang gliding and all types of mountain sports.
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