In the frame of the development of research and teaching activities in the area of Artificial Intelligence and Machine-Learning, MINES ParisTech, member of PSL Research University, is opening a permanent position “chargé de recherche” in Artificial Intelligence for Robotics and Autonomous Vehicle. At MINES ParisTech, a “chargé de recherché” is a junior member of staff with a permanent position having research as main duty, with some teaching. Equivalent positions outside France would be lecturer or assistant professor.
The targeted profile is a young (mainly 3 – 10 years after PhD) researcher (f/m) willing to develop multidisciplinary research combining fundamental and applied sciences in Artificial Intelligence with application to Autonomous Vehicles and Robotics.
Contact: bogdan.stanciulescu at mines-paristech.fr
Position and duration: Postdoctorate – 12 Months full time contract
Starting date: 1st of April 2016
Qualifications and skills: Applicants must have a PhD in the field of computer science, electrical engineering, physics, or any other related field. The candidates need to have a strong background in scene interpretation, particularly in the following fields: 3D environment reconstruction, SLAM, feature extraction, scene recognition, visual object detection. The applicants must have good communication skills, be able to work in a team environment and have fluent English skills. French language knowledge is a plus, but not compulsory.
The application must contain information of research background and work experience, including:
Applications must be submitted by e-mail to bogdan.stanciulescu at mines-paristech.fr with the subject: POSTDOCTORAL POSITION.
The Robotics Laboratory of Mines-ParisTech (CAOR) has developed extensive competences and tools in the field of computer vision and pattern recognition for real-time object detection and classification (people, vehicles, faces, etc). One of the CAOR’s algorithms has been internationally recognised as the 2nd best Pascal VOC challenge 2006.
For its results in real-time object recognition and classification, the CAOR’s has been rewarded the Best Student Paper Award at the International Conference on Control, Automation, Robotics and Vision 2011, and again rewarded the International Joint Conference on Neural Networks 2011 object recognition challenge.
The postdoctoral associate could use the CAOR’s experience in real-time video processing, robust signature extraction from multiple images and machine learning.
Least but no last, the Robotics Lab has acquired a good experience in sensor data fusion for performing indoor SLAM. The Laboratory’s prototype « Corebots » has won 2 times out of 3 the DGA-ANR Carotte competition for mobile robots, by a precise 3D environment mapping and localisation.
SLAM laser mapping by Corebots prototype
This entry in only available in french…
This entry is only available in french…