**************************************************************** POST-DOC OPENING IN STATISTICAL MACHINE TRANSLATION AT LIMSI-CNRS, FRANCE **************************************************************** The "Spoken Language Processing" team at LIMSI-CNRS, Orsay (25 km south of Paris) is seeking qualified postdoctoral researchers in the field of Statistical Machine Translation (SMT). The main task of the candidate will be to design, implement and evaluate innovative models and associated training and inference procedures for components of statistical machine translation systems. These models will be used to improve LIMSI's machine translation toolbox. Other areas in which we have a strong interest are model adaptation, confidence measures and automatic evaluation metrics. The successful candidate will join a dynamic research team working on various aspects of SMT. See http://www.limsi.fr/Scientifique/tlp/mt for information regarding our activities. Candidates are expected to hold an Engineering BSc/Msc degree and a PhD in Computer Science. Knowledge of statistical or example-based approaches for Speech or Natural Language Processing is required; the candidate is also expected to have strong programmation skills, to be familiar with statistical machine learning techniques, and have a good publication record in the field. Experience with statistical machine translation systems and/or participation in large-scale open evaluations (NIST, IWSLT etc.) will be a strong advantage. The minimum remuneration will be EUR 2000 (net income) per month. A contract of one year will be awarded. Interested candidates should send a short cover letter stating motivation and interests, along with their CV (in .pdf format, only) to the email address given below as soon as possible and by dec 31th 2012 at the latest. Questions or other clarification should be directed to the same address. Application Deadline: 31-dec-2011 [the position(s) will remain open until filled] Email Address for Applications: yvon at limsi dot fr Contact Information: F. Yvon Phone: +331-69858066