POST-DOCTORAL POSITION - 2009 Department : Signal and Image Processing http://www.tsi.enst.fr/
Lab : LTCI UMR Telecom ParisTech/CNRS 5141 http://www.ltci.enst.fr/
TOPICS : machine-learning for structured data, social networks, random graphs, graphical models
Description : 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 way information is spread through small social networks (« ego networks »). The main focus of this research project lies on information related to knowledge about dietary risks.
Required diplomas 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.
Funds : position is funded by a new Grant « Futur & Rupture « (Institut Telecom).
The Project Team: the candidate will enjoy a challenging and rewarding working environment, within a top leading laboratory in the field of Information and Communication Theory.
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).
Position starting March 2009, in Paris (France)
Net salary : ranging from 2200 to 2700 euros per month (depending on experience of the candidate)
Interested applicants should sent C.V. to :
Stéphan Clémençon stephan.clemencon@telecom-paristech.fr
Telecom ParisTech ‐ 37 rue Dareau ‐ 75014 Paris – France
Tel : +33 1 45 81 78 07, Fax : +33 1 45 81 71 58
Lab : LTCI UMR Telecom ParisTech/CNRS 5141 http://www.ltci.enst.fr/
TOPICS : machine-learning for structured data, social networks, random graphs, graphical models
Description : 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 way information is spread through small social networks (« ego networks »). The main focus of this research project lies on information related to knowledge about dietary risks.
Required diplomas 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.
Funds : position is funded by a new Grant « Futur & Rupture « (Institut Telecom).
The Project Team: the candidate will enjoy a challenging and rewarding working environment, within a top leading laboratory in the field of Information and Communication Theory.
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).
Position starting March 2009, in Paris (France)
Net salary : ranging from 2200 to 2700 euros per month (depending on experience of the candidate)
Interested applicants should sent C.V. to :
Stéphan Clémençon stephan.clemencon@telecom-paristech.fr
Telecom ParisTech ‐ 37 rue Dareau ‐ 75014 Paris – France
Tel : +33 1 45 81 78 07, Fax : +33 1 45 81 71 58
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