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CR2-2013-8-MIA-1
CR2 | Junior Research Scientist


Open competition CR2: Mathematics and modelling
Discipline(s): Probabilities and statistics

Research division:
MIA | Applied Mathematics and Informatics


Research field:
Approximate inference methods for complex systems

 

Educational background: PhD or equivalent. Candidates should have a good command of English. The successful candidates who have not yet acquired postdoctoral training will be required to do so, preferably abroad, after their probationary period (1st year) and before being eligible for promotion to an Experienced Research Scientist position (CR1).

 

Object of research and skills: Models used for ecology and environment involve more and more complex dependence structures. The inference of such models is a difficult task that currently requires sophisticated Monte-Carlo simulation techniques. Mastering computational developments and convergence properties of these probabilistic inference tools is becoming a major stake to help understand the phenomena under study, to perform statistical predictions or to optimise decisions with regards to the case study’s specific risks. The successful candidate will be expected to contribute to the development of stochastic algorithms and/or approximate inference techniques, and to implement them. Experience in statistical modelling of complex data ( such as graphical models or spatio-temporal data) and a definite taste for biological applications and environmental sciences will be highly appreciated. Practical experience in Bayesian variational inference, ABC or particle methods, etc.. will be welcome.

Person to contact before applying:
Stéphane Robin
Tel: +33 (0) 1 44 08 72 07
E-mail: robin@agroparistech.fr

Host unit reference:
Research unit: 0518 MIA Mathématiques et Informatique Appliquées
Centre: VERSAILLES-GRIGNON
Address: 16 RUE CLAUDE BERNARD 75005 PARIS
Website of the unit: http://www.agroparistech.fr/mia/


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