Internship: Realtime Optimization and Control

Cambridge, Massachusetts, United States · MP · 1248

Description

MERL is seeking an intern to develop realtime optimization strategies to maximize the performance of vapor compression systems. The ideal candidate has a strong theoretical background in extremum seeking, nonlinear and adaptive control, and optimization. Proficiency in MATLAB, Python or Julia is required. Senior graduate students in engineering or mathematics programs at leading research universities are sought. The intern will collaborate with MERL researchers in developing new algorithms, conducting experiments, and preparing manuscripts for scientific publications. The expected duration is roughly three months.



Research Areas: Control, Multi-Physical Modeling, Optimization

Contact: Dan Burns


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.

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