[robotics-worldwide] [jobs] Post-doc position in representation learning for robotics - 2nd call
david.filliat at ensta-paristech.fr
Mon Oct 17 06:01:37 PDT 2016
The Autonomous Systems and Robotics team at ENSTA ParisTech (https://urldefense.proofpoint.com/v2/url?u=http-3A__asr.ensta.fr&d=DQIFbA&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=4umGpH-FoCVZfGrCbpaRe5xSlX6kIUIFtOdlN9hY1sw&s=H7WTUrJ88c5cHqdWuR6y-i6nfsFkNQdpggE8EiKnjhs&e= ) is opening an 18 months postdoc position in the area of representation learning for robotics. The goal is to develop approaches that make it possible to learn relevant low dimensional representations from images that will support behavior learning. These approaches should be integrated in a complete learning and development cycle that integrate data generation and acquisition, learning of representation and exploitation of these representation to learn behaviors. The position will take place in the context of the DREAM H2020 european project.
The DREAM European project (https://urldefense.proofpoint.com/v2/url?u=http-3A__www.robotsthatdream.eu_&d=DQIFbA&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=4umGpH-FoCVZfGrCbpaRe5xSlX6kIUIFtOdlN9hY1sw&s=R-xvdIiZvBsNTV_Js069pqHHp4aMScC4xMpLL1NPiMQ&e= ) is focused on the bootstrap of a developmental process allowing a robot to learn about its environment and the objects it contains. DREAM is one of the five selected projects of the FET call (Future and Emerging Technologies) on « Knowing, doing, being: cognition beyond problem solving ». The position involve robotics experiments that will be done in simulation and on the Baxter robot. The position will be located in ENSTA ParisTech, Palaiseau, France. ENSTA ParisTech is one of the most renowned French institutes of engineering education and research (Grande École). It is a founding member of Paris-Saclay University, a federal university composed of 19 institutions (Universities, Grandes Écoles, Research organisms).
We are looking for highly motivated candidates with a strong academic record. An excellent background is expected in computer vision for robotics, representation learning (e.g., deep learning). Significant experience in real robotics applications and in reinforcement learning will be appreciated. Programming skills in modern C++ and python are expected.
Applicants should send a CV, motivation letter (max 2 pages), and a list of three references via e-mail to david.filliat at ensta-paristech.fr. Please put [DREAM post-doc] in the subject of the mail. Review of applicants will begin immediately, and will continue until the position is filled.
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