Postdoc Position in Reinforcement Learning and Mobile Manipulation

at  Aalto University

The Robot Learning research group is seeking a talented Postdoc with strong interest in Reinforcement Learning and Mobile Manipulation.
The Aalto Robot Learning research group operates in the intersection of artificial intelligence and robotics. We focus on developing methods for reinforcement learning, robotic manipulation, decision making under partial observability, imitation learning, and decision making in multi-agent systems. The goal of the research group is to help robots understand what they need to learn to perform their assigned tasks, and, thus, make robots capable of operating on their own and pro-actively help humans. To accomplish these goals the research group develops novel decision-making methods and uses these methods to solve unsolved robotic tasks. For more information, please see
https://rl.aalto.fi
.
The main task of the Postdoc will be to develop new reinforcement learning and planning methods. The developed methods may be based on one of our focus areas improving efficiency and generalization in control of complex systems. A goal is to develop methods that can be used for robotic mobile manipulation in unstructured partly unknown environments and in environments with elastic or deformable objects. The developed methods are evaluated with real robots such as our Boston Dynamics Spot robot. The exact direction of the research is chosen depending on your experience and interests. Please relate clearly to the research topics in your Letter of Motivation.
Outstanding researchers from the areas of Machine Learning, AI, Robotics, and related areas including Reinforcement Learning, Control Engineering, Computer Vision, Statistics & Optimization, or Mathematics & Physics are welcome to apply. The candidate is expected to conduct independent research and at the same time contribute to the topics listed above. Successful candidates will be furthermore given the opportunity to work with undergraduate students, M.Sc. students, and PhD students.
The research group collaborates internationally and nationally with research groups in construction, computer vision, robotics, mobile heavy machines, human-robot interaction, reinforcement learning, imitation learning, multi-agent systems, under-water vehicles, and robot motion planning. There will be ample opportunities for international collaboration.

Please refer the Job description for details