Internship: Provable Estimation for Complex Systems
MERL is seeking a motivated and qualified individual to conduct research in estimation theory for complex systems. The ideal candidate should have solid background in estimation theory addressing complexity including partially observable dynamics, hybrid, nonlinearity, and large scale. Senior PhD students in control, mathematics, and related areas are encouraged to apply. Duration is about 3 months.
Research Areas: Control
Contact: Yebin Wang
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