|Title: Fully Funded PhD Studentship in Paris||Posted: July 28, 2014|
Description: Looking for an outstanding PhD student to join the Center for Visual Computing at Inria & Ecole Centrale Paris. The position is fully funded with an internationally competitive salary.
The project is at the interface between machine learning and computer vision, with an emphasis on discriminative parameter learning for segmentation, and is supervised by Prof. Matthew Blaschko.
Established in 1967, Inria is the only French public research body fully dedicated to computational sciences. Combining computer sciences with mathematics, Inria's 3,500 researchers strive to invent the digital technologies of the future. Educated at leading international universities,
they creatively integrate basic research with applied research and dedicate themselves to solving real problems, collaborating with the main players in public and private research in France and abroad and transferring the fruits of their work to innovative companies. The majority of the 180 project teams are joint teams with other research institutions and universities. This is as well the case for Dr. Blaschko's team, a joint project team of Inria and Ecole Central Paris, hosted at Ecole Centrale.
Ecole Centrale Paris (ECP) was founded in 1829. It was the first major engineering school to train engineers in the early days of industry. Today the primary vocation of ECP is still to train managers for industry, a role which gives it a unique position among the major French engineering schools. Centrale is one of the most prestigious French elite engineering (Grandes Ecoles) schools in terms of academic and research performance.
Application Instructions: To apply, please send a CV, short (1-2 page) motivation letter, and the names of 3 references to firstname.lastname@example.org with the subject line "ANR_PhD"
The successful applicant will have a solid background in mathematics and statistics with excellent grades. It is desirable to have a previous publication record in top computer vision or machine learning venues (CVPR, ECCV, ICCV, NIPS, ICML, AISTATS, JMLR, PAMI, IJCV...).
The language of the center is English. French courses are available if desired. For more information about the center and its research see http://cvn.ecp.fr/ and