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implementation tools used in autonomous robots and embedded systems (e.g., C, C++, Linux, MATLAB, Python, Robot Operating System, Gazebo Physics Engine Simulator) is required. In compliance with NYC?s Pay
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writing C++ and PyTorch. Training and debugging RL agents. Imitation Learning algorithms for robotics or autonomous vehicles. Prior work combining RL with human data or feedback. A track record of code
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for an individual to be appointed as a postdoctoral associate under the supervision of Prof. Mark Tuckerman. The research will focus on the use of classical and quantum molecular simulation and machine learning
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systems, and/or learning theory Programming proficiency and experience with simulation tools Excellent publication record in peer-reviewed journals Strong written and verbal communication skills Duration