Researcher, Statistical Machine Translation
The Machine Learning for Document Access and Translation (MLDAT) group of the Xerox Research Centre Europe conducts research in Statistical Machine Translation and Information Retrieval, Categorization and Clustering using advanced machine learning methods.
We are opening a position for a researcher with a background in Statistical Machine Translation (SMT) to support a combination of internal and EU-funded projects.
Required experience and qualifications:
- PhD in computer science or computational linguistics with focus on SMT or statistical Natural Language Processing.
- Good publication record and evidence of implementing systems.
- A good command of English, as well as open-mindedness and the will to collaborate within a team.
Please email your CV and covering letter, with message subject "Statistical Machine Translation Researcher" to xrce-candidates and to Nicola.Cancedda at xrce.xerox.com.
Inquiries can be sent to Nicola.Cancedda at xrce.xerox.com.
Xerox Research Centre Europe (XRCE) is a young, dynamic research organization, which creates innovative technologies to support growth in Xerox business process outsourcing and document management services businesses.
Our domains of research stretch from the social sciences to computer science. We have renowned expertise in machine learning, natural language processing, computer vision, ethnography and services computing.
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