Internship: Reinforcement Learning in Optimization and Robotics

Work involves improvements to robotic accuracy and control based on reinforcement learning. This role requires advanced software skills and knowledge of mechatronics, including design and fabrication abilities. Proficiency with Python, Arduino, mechanical and electronic CAD tools such as FreeCAD and GEDA, middleware such as ROS and OpenCV, and optimization packages like IPOPT is desirable. CNC milling, 3D printing and other prototyping skills are also desired. Most importantly, the role requires a strong imagination and creativity to solve unique problems that are not textbook cases. Research Areas: Machine Learning, Optimization, Robotics. Contact: Bill Yerazunis Mitsubishi Electric Research Labs, Inc. “MERL” is committed to equal employment opportunities for all employees and applicants regardless of race, color, religion, sex, national origin, age, disability or genetics. In accordance with federal law, MERL abides by the laws of the states and localities in which it operates, prohibiting workplace discrimination. This applies to all employment conditions including recruitment, hiring, placement, promotion, termination, layoff, recall, transfer, leave of absence, compensation, and training. MERL strictly forbids any form of harassment in the workplace based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Any inappropriate interference with MERL employees’ job performance will be punishable, up to and including termination. Full authorization to work in the U.S is a requirement at MERL, including access to technology, software, and information that are subject to governmental access control restrictions due to export controls. This may include obtaining export licenses or other government documentation. If necessary, MERL can delay commencement of employment, withdraw an offer of employment, terminate employment, and/or modify job responsibilities, compensation, benefits, and access to MERL facilities and information systems to ensure compliance with employment law and government access control restrictions.