Internship: Data-driven estimation and control for large-scale dynamical systems

The Dynamics team at MERL is seeking a highly motivated, qualified individual to join our internship program in the summer of 2024. The ideal candidate will be a Ph.D. student specializing in engineering, applied mathematics, computer science or similar fields with solid background in estimation, control and dynamical systems theory. Research exposure to one of the following is very desirable but not necessary: reduced-order models (ROMs), reinforcement learning, nonlinear control, PDEs, and robust control. Publication of results obtained during the internship is expected. The starting date is flexible and the internship will last about 12 weeks.

Research Areas: Control, Dynamical Systems, Machine Learning

Contact: Mouhacine Benosman

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