Starting: March 2009
Location: Paris, France
TOPICS: machine learning for structured data, social networks, random graphs, graphical models
The Department Signal and Image Processing (TSI) of Telecom ParisTech (France) is offering a one year post-doctoral position in Machine Learning. The post-doctoral fellow will develop and implement machine learning procedures and statistical techniques for investigating the diffusion of information through small social networks. The context of the study is related to food safety and dietary risks.
REQUIRED QUALIFICATION AND SKILLS:
Candidates will be recruited at the level of a PhD in Mathematics or Statistics. They will have confirmed skills in mathematical modelling, data analysis, statistical or machine learning methods, mathematical programming (Matlab or R), and will be highly motivated for applications to social sciences.
The candidate will enjoy a challenging and rewarding working environment, within a top leading laboratory in the field of Information and Communication Theory.
Team members: Stéphan Clémençon (Telecom ParisTech – TSI), Fabrice Rossi (Telecom ParisTech – INFRES), Nicolas Vayatis (ENS Cachan – CMLA), Sandrine Blanchemanche (INRA Unité Met@risk), Akos Rona-Tas (UCSD Dept of Sociology).
INSTITUTION: Department of Signal and Image Processing of Institut Telecom – http://www.tsi.enst.fr/ and Laboratory LTCI UMR Telecom ParisTech/CNRS 5141 – http://www.ltci.enst.fr/
FUNDING: position is funded by a new grant « Futur & Rupture « (Institut Telecom).
NET SALARY: ranging from 2200 to 2700 euros per month depending on past experience
CONTACT: Interested applicants should sent C.V. to Stéphan Clémençon
stephan.clemencon (at) telecom-paristech.fr