PhD Position in graph matching and object recognition at LIRIS Lyon
Forum 'Emplois' - Sujet créé le 2012-09-04 par Charles-Edmond Bichot
A PhD position will be available at the LIRIS Laboratory, Villeurbanne , France, in
"Graph-based approach to large scale Kite recognition"
With a 3 years duration, the PhD is expected to start by november 2012.
The PhD student will conduct his research in the fields of object recognition and namely Kite recognition on satellite images using graph based tools. Kites are remnants of long stone walls that outline the shape of a child's kite. But the kites are huge: The "body" is a wall enclosing a corral-like space often 100 or more meters across. The "tails," two or more walls running out from the head, are typically each a few hundred meters long, but they can be as long as two or three kilometers.
A large scale recognition of kites will help archeologists of various fields to understand these enigmatic constructions.
This research will be funded by the Labex IMU (Intelligence des Mondes Urbains < http://imu.universite-lyon.fr/ >) within the KITE project which brings together researchers from IT , Archeology and Geography.
The PhD student must have a strong background in graph matching and pattern recognition and at least a basic knowledge in image analysis.
The research will be conducted in the LIRIS Laboratory (http://liris.cnrs.fr/) in a close collaboration with the Archéorient Laboratory (http://www.archeorient.mom.fr/).
Applications are welcome from university graduates in mathematics and computer science.
Successful applicants must show outstanding grades and have finished their master thesis on a topic related to the mentioned research areas.
Applications can be sent by email to Hamida Seba (hamida.seba@univ-lyon1.fr) and Charles-Edmond Bichot(charles-edmond.bichot@ec-lyon.fr) in one PDF document, containing a CV, a copy of academic transcripts and master scores, a short statement of motivation (including description of prior activities in the relevant areas), and one reference letter or a letter of recommendation.
Applications will be processed until the position is filled.
For more information, please contact Hamida Seba (hamida.seba@univ-lyon1.fr).
"Graph-based approach to large scale Kite recognition"
With a 3 years duration, the PhD is expected to start by november 2012.
The PhD student will conduct his research in the fields of object recognition and namely Kite recognition on satellite images using graph based tools. Kites are remnants of long stone walls that outline the shape of a child's kite. But the kites are huge: The "body" is a wall enclosing a corral-like space often 100 or more meters across. The "tails," two or more walls running out from the head, are typically each a few hundred meters long, but they can be as long as two or three kilometers.
A large scale recognition of kites will help archeologists of various fields to understand these enigmatic constructions.
This research will be funded by the Labex IMU (Intelligence des Mondes Urbains < http://imu.universite-lyon.fr/ >) within the KITE project which brings together researchers from IT , Archeology and Geography.
The PhD student must have a strong background in graph matching and pattern recognition and at least a basic knowledge in image analysis.
The research will be conducted in the LIRIS Laboratory (http://liris.cnrs.fr/) in a close collaboration with the Archéorient Laboratory (http://www.archeorient.mom.fr/).
Applications are welcome from university graduates in mathematics and computer science.
Successful applicants must show outstanding grades and have finished their master thesis on a topic related to the mentioned research areas.
Applications can be sent by email to Hamida Seba (hamida.seba@univ-lyon1.fr) and Charles-Edmond Bichot(charles-edmond.bichot@ec-lyon.fr) in one PDF document, containing a CV, a copy of academic transcripts and master scores, a short statement of motivation (including description of prior activities in the relevant areas), and one reference letter or a letter of recommendation.
Applications will be processed until the position is filled.
For more information, please contact Hamida Seba (hamida.seba@univ-lyon1.fr).