Internship: Provable Estimation for Complex Systems

Cambridge, Massachusetts, United States · ME · 1119

Description

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. Start date for this internship is around May 2018 but flexible, and the duration is about 3 months.


Mitsubishi Electric Research Laboratories, Inc. is an Equal Opportunity Employer. Please see our website http://www.merl.com for information relating to our research, and http://www.merl.com/publications/ to explore our publications.


Research Area: Mechatronics

Contact: Yebin Wang

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