The SlipGURU lab at DISI, Università di Genova, Italy, has an open two years Post-Doc position for a candidate interested in working on the following topic:

"computer vision and statistical learning methods for extracting geometric and semantic information from outdoor environments."

The research project will consist in extracting information on the consistency and the correctness of goods train load before departure from stations. The two main goals are (i) the precise localization of containers (ii) the automatic reading of containers code number. The challenge is to design methods that are robust to different environment and weather conditions. This activity is partly related to a EU project, funded under the program "Research for SMEs".

For details about our research activities, see: http://slipguru.disi.unige.it 

The ideal candidate will have the following profile:
PhD in Computer Science/Computer Engineering/Physics/Mathematics
A solid background on programming with C/C++ and a working knowledge of Matlab.
A background in statistical learning and/or computer vision is a plus
The application deadline is 30/06/2008.

For application send an email to odone@disi.unige.it with reference "Slipguru Post-Doc Position" with attached cv and two reference names.