Dienstag, 20. September 2011

[Imageworld] One postdoctoral position available in Caen, France.

The GREYC academic research laboratory seeks qualified candidates for one postdoctoral research position.

Location: Image team of the GREYC -- the research center in computing sciences of Caen, Normandy, France.
Duration: 12 months, from Nov. 1, 2011 or later. Possible extension.
Net monthly salary: around 2000 euros

The position, which is open in the frame of the project CARTES funded by the ANR (French National Research Agency), is full-time, with a 12 months initial appointment as research assistant of the CNRS. Travel expenses to conferences are provisioned. Applications are open, there is no local candidate.

The project CARTES aims at developing a photographic device to acquire fingerprints on crime scenes. CARTES is a french acronym for "Fast and Easy Capture of Latent Prints from Crime Scenes".

The focus of the post-doctoral position will be on developing theoretical foundations as well as new practical methods and algorithms for 3D depth reconstruction from structured light. Indeed, one of the goal of the project CARTES is the design of a device able to measure the 3D shape of an object; typically an object a fingerprint is laid on. If we can reconstruct the shape of the surface, we can correct the geometric distortion of the fingerprint image to make the recognition more efficient. Typically, the acquisition device will be a digital camera with a tuned flash projecting some type of light pattern. Thus, common approaches to reconstruction from structured light using phase-shifting techniques cannot be applied in our context, where the camera and light source are almost at the same location. Therefore, innovative and imaginative research should be undertaken by the post-holder.
The project started in March 2010 and a postdoctoral assistant is working currently on the project.
The post-holder will be free to do research in applied mathematics in fields related to the theoretical aspects of the problem, like convex optimization, sparse representations, frequency estimation, phase unwrapping...

The candidate should have (or expect shortly to obtain)
* a doctoral degree in signal or image processing, applied mathematics, computer vision, or related fields
* publications in top ranking journals and leading conferences
* good programming skills in C/C++
* good communication skills and scientific writing ability in English. Communication skills in french are preferable but not mandatory.

For application or for obtaining more information, please contact Laurent Condat, supervisor of the project at the GREYC:laurent.condat@ensicaen.fr

--
Laurent Condat
CNRS research fellow,
Image Team, GREYC lab., CNRS - ENSICAEN - Univ. of Caen
Caen, France
http://www.greyc.ensicaen.fr/~lcondat/


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