Internship: Autonomous Vehicles: Perception, Planning, and Control
Mitsubishi Electric Research Labs, United States
Job Description
MERL is seeking a highly motivated and qualified intern to collaborate with the Control for Autonomy team in the development of algorithms for planning and control of autonomous vehicles. The potential subjects include high level decision making using formal methods and set-based control, coordination or perception and control strategies to improve environment knowledge while achieving a goal, and distributed control for multi-vehicle systems. The ideal candidate is expected to be working towards a PhD with strong emphasis in control or planning algorithms, and to have interest and background in as many as possible among: motion planning, predictive control, perception and object detection optimization, machine learning for vehicle prediction, autonomous vehicles. Good programming skills in Matlab, Python or C/C++ are required. The expected duration of the internship is in the Spring of 2021, for a duration of 3-6 months. If the situation with the COVID-19 pandemic improves before the internship is scheduled to start, this internship will be held onsite at MERL. Otherwise, it will be done remotely from where you live now
Research Areas: Artificial Intelligence, Control, Optimization, Robotics
Contact: Stefano Di Cairano
Mitsubishi Electric Research Labs, Inc. "MERL" provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, MERL complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
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