PhD thesis grant: machine learning and multimodal data

PhD thesis grant: machine learning and multimodal data

Posted by Rebecca Martin on Tue, 23/06/2009 - 00:00

The research labs LIF (http://www.lif.univ-mrs.fr) and LSIS (http://www.lsis.org) together propose a PhD thesis in machine learning applied to multimedia data, within the « Web Multimedia Mining » research group. The thesis will take place in Marseille and Toulon, south-east of France (french riviera), starting in fall 2009. It is granted by the French Minister of Education and Research for 3 years.

The thesis aims at theoretically studying co-training style algorithms to fit multimodal concerns, with application to scaled benchmarks of multimedia data, and the participation to the TRECVID international challenge. The description of the thesis can be found at
http://www.lif.univ-mrs.fr/spip.php?article423.

Supervisors: François Denis, PR (LIF), francois.denis (at) lif.univ-mrs.fr and Hervé Glotin, MCF HDR (LSIS), glotin (at) univ-tln.fr.

Conditions for application: candidates must hold a Master Degree in computer science.

Required skills: fundamental computer science, statistics, machine learning, signal processing, multimedia data representation. Algorithmics and programmation. The candidate must have a master degree in computer science. Matlab and C programming are welcome.

How to apply: please contact the supervisors and send them a Curriculum Vitae with recommandations if any. Deadline for application: july 9th, 2009.