The Idiap Research Institute has opened a postdoctoral position on learning from demonstration for fine manipulation of solids in chemistry, with research topics related to non-prehensile manipulation, ergodic control, and task and motion planning . The positions will be part of an Innosuisse project in collaboration with SwissCat+ at EPFL which aims to develop high-precision autonomous solid sampling for chemistry.
The Postdoc candidate will work within the Human-centered Robotics and AI and the Robot Learning and Interaction groups under the supervision of Dr. Emmanuel Senft and Dr. Sylvain Calinon.
The successful candidate should hold a PhD degree in robotics, ideally with a focus on control, learning from demonstration, or non-prehensile manipulation. She/he should also demonstrate excellent research experience in her/his field, strong publication record and ability to do creative and significant research with relative level of autonomy. The applicant should also demonstrate a strong background in statistics, optimization, linear algebra, and proficient programming skills (Python and/or C/C++ and ROS) with the Linux environment.