Position: Researcher in Machine Learning for Cross-Language Technologies
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:
1. Breakthrough techniques for training statistical translation
and language models
2. 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 xrce-candidates@xrce.xerox.com and to
Nicola.Cancedda@xrce.xerox.com.
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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Nicola Cancedda,
Xerox Research Centre Europe
6, Chemin de Maupertuis, 38240 Meylan France
Tel.: +33 (0)4 76.61.51.59
Fax.: +33 (0)4 76.61.50.99
E-mail: Nicola.Cancedda@xrce.xerox.com
Home Page: http://www.xrce.xerox.com/people/cancedda/
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