Connectionists: Research Staff position at Xerox

[Nicola Cancedda]

Permanent Position: Machine Learning for Machine Translation
                 and other Cross-Language Applications

The recently formed 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
Machine Learning methods for translation and cross-language textual
information access, ensuring a strong network of academic
collaboration.

We are looking for a researcher with a background in Machine
Learning or in Statistical Natural Language Processing 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. Current research directions include:

    1. Breakthrough techniques for training translation and
       language models

    2. Model adaptation to new domains and across time

    3. Advanced latent-semantic representations of textual data

    4. Automatic extraction of multilingual terminologies

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, statistics or statistical Natural Language
Processing; experience in 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 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 at xrce.xerox.com and to
Nicola.Cancedda at 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 at xrce.xerox.com
Home Page: http://www.xrce.xerox.com/people/cancedda/