Internship: Risk-aware fault tolerant control of autonomous vehicles
Cambridge, Massachusetts, United States
Applications have closed
Mitsubishi Electric Research Labs
Mitsubishi Electric Research Laboratories (MERL) is the North American arm of the Corporate R&D organization of Mitsubishi Electric Corporation.MERL is seeking a highly motivated and qualified intern to collaborate with the Control for Autonomy team in research on risk-aware, fault-tolerant planning and control of autonomous vehicles. 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 of: physics-based and data-based prediction models, formal methods for probabilistic validation, invariance and set-based control, predictive control algorithms for linear and nonlinear systems and vehicle modeling and control. Good programming skills in MATLAB, Python are required. Knowledge of ROS and C/C++ are a plus. The expected start of of the internship is in the late Spring/Early Summer 2022, for a duration of 3-6 months.
Research Areas: Control, Dynamical Systems, 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.
MERL expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of MERL’s employees to perform their job duties may result in discipline up to and including discharge.
Tags: C++ Matlab PhD Physics Python Research Robotics
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