Postdoc position in "Machine Learning and Functional Data Analysis for Structured Output Prediction"

Postdoc position in "Machine Learning and Functional Data Analysis for Structured Output Prediction"

Posted by Victoria Nicholl on Thu, 25/10/2012 - 10:44

We are looking for a strongly motivated person with a PhD degree, and a good background in machine learning (ML) with experience in kernel methods, time series analysis and/or structured prediction, for a 1 year postdoctoral position at LIF. The candidate will work within the framework of a project of the French National Research Agency: ANR
Lampada: Learning Algorithms, Models and sPArse representations for structured DAta.

The selected candidate will join the Fundamental Computer Science laboratory (Laboratoire d'Informatique Fondamentale de Marseille, a.k.a.
LIF - Marseille, France) and will work, in collaboration with the Qarma (Machine Learning and Multimedia) team. He/she will be involved in developing new theoretical and algorithmic approaches to (nonparametric) ML methods and exploring their use for applications involving functional or/and structured data. Knowledge on functional data analysis (FDA) techniques will be appreciated. Additional information about QARMA can be found at http://www.lif.univ-mrs.fr/~qarma/.

The postdoc will be working directly with Hachem Kadri and François Denis within the QARMA team, and will have the opportunity to collaborate with other members of a research group of IBISC specialized in Machine Learning in Systems Biology, including Florence d'Alché-Buc.

The position is expected to be available starting January 2013.
Applications will be continuously received until the position is filled.

Applications and further questions regarding the position should be addressed to hachem.kadri@lif.univ-mrs.fr and francois.denis@lif.univ-mrs.fr. For more information, see http://www.lif.univ-mrs.fr/~qarma/?q=content/postdoc-position-available.

If you are planning to go to NIPS this year, we could set up an appointment there.