PhD student, Statistical Machine Translation in Grenoble (France)
The Machine Learning for Document Access and Translation group of the Xerox Research Centre Europe (XRCE) conducts research in Statistical Machine Translation and Information Retrieval, Categorization and Clustering using advanced machine learning methods.
We are opening a position for a PhD studentship in the field of Statistical Machine Translation. The ideal candidate has a strong undergraduate curriculum in SMT, or otherwise in statistical NLP, and is passionate about devising, implementing and evaluating effective solutions to challenging language problems.
This PhD will be co-supervised with the Laboratory of Informatics of Grenoble (LIG) which conducts research in Machine Translation and Natural Language Processing. The candidate will register as a graduate PhD student at University of Grenoble.
Required experience and qualifications:
– Master-level degree in computer science, mathematics, statistics, or computational linguistics with focus on Machine Translation, statistical NLP, or machine Learning.
– A good command of English, as well as open-mindedness and the will to collaborate within a team.
Additional desirable features:
– A publication record
– Evidence of implementing systems.
Preferred starting date: ASAP
Inquiries can be sent to
Nicola.Cancedda at xrce.xerox.com
Laurent.Besacier at imag.fr
XRCE is a highly innovative place and we strongly encourage publication and interaction with the scientific community.