Internship - Distributed estimation for interconnected dynamical systems

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Mitsubishi Electric Research Laboratories

51-200 employeesFounded 1991Cambridge, MAResearch
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Best applied by Nov 25

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About the role#

MERL is looking for an intern for a three-month assignment focused on the research of distributed estimation and control for interconnected dynamical systems. This work centers on state estimation problems for distributed thermofluid systems governed by large-scale, nonlinear, and sparse differential algebraic equations. The modular nature of these systems requires a distributed architecture for both estimation and control.

What you'll do#

  • Conduct research into distributed estimation and control of interconnected dynamical systems.

What you'll need#

  • Enrollment in a Ph.D. or equivalent program of study.
  • Knowledge of classic and advanced methods of multivariable and nonlinear control and estimation.
  • Experience with the design and realization of classic and advanced nonlinear control systems.
  • Experience with the design and realization of state estimation algorithms.
  • Knowledge of distributed estimation theory.
  • Experience with networked control systems or multi-agent systems.

Location & details#

  • Location: Cambridge, Massachusetts.
  • Work Modality: On-site.
  • Compensation: 6,000 to 8,000 dollars per month.
  • Benefits: Relocation stipend, travel coverage, monthly Charlie Card for commuting, and eligibility for health insurance after a 90-day waiting period.
  • Sponsorship: Available for qualified candidates.
  • Majors: Computer Engineering, Electrical Engineering, or Mechanical Engineering.

About Mitsubishi Electric Research Laboratories

Mitsubishi Electric Research Laboratories is the United States subsidiary of the corporate research and development division of Mitsubishi Electric Corporation. Founded in 1991 and based in Cambridge, Massachusetts, the organization employs between 51 and 200 people. It conducts basic and applied research in fields such as artificial intelligence, signal processing, and multi-physical modeling. The laboratory publishes its findings to support collaboration with the global research community.

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