Internship: Machine Learning and Optimization
Cambridge, Massachusetts, United States
Applications have closed
Mitsubishi Electric Research Labs
Mitsubishi Electric Research Laboratories (MERL) is the North American arm of the Corporate R&D organization of Mitsubishi Electric Corporation.MERL is looking for a self-motivated intern to develop machine learning and optimization algorithms. The ideal candidate would be a senior PhD student with experience in one or more of the following areas: machine learning, mathematical optimization, discrete-event systems modeling. Strong programming skills using Python/PyTorch are expected. Experience in transportation applications and traffic modeling would be a plus. The intern is expected to work with MERL researchers to develop algorithms and prepare manuscripts for scientific publications. The duration of the internship is expected to be 3 months. Start date is flexible.
Research Areas: Data Analytics, Machine Learning, Optimization
Contact: BinBin Zhang
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.
Tags: Data Analytics Machine Learning PhD Python PyTorch Research
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