Internship Openings

2 / 76 Intern positions were found.

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.

Working at MERL requires full authorization to work in the U.S and access to technology, software and other information that is subject to governmental access control restrictions, due to export controls. Employment is conditioned on continued full authorization to work in the U.S and the availability of government authorization for the release of these items, which might include without limitation, obtaining an export license or other documentation. MERL may delay commencement of employment, rescind an offer of employment, terminate employment, and/or modify job responsibilities, compensation, benefits, and/or access to MERL facilities and information systems, as MERL deems appropriate, to ensure practical compliance with applicable employment law and government access control restrictions.

  • OR2079: DER-centric Microgrid Optimization and Control

    • MERL is seeking a highly motivated and qualified individual to conduct research on DER-centric Microgrid Optimization and Control. Ideal candidate should be a senior Ph.D. student with solid background and publication record in any of the following, or related areas: power systems, Microgrid, distribution energy resources, host capacity, optimization, and uncertainty modelling. Hand-on experience on programming using Python, C/C++, or MATLAB is required. The duration of the internship is anticipated to be 3-6 months, and the start date is flexible.

    • Research Areas: Control, Data Analytics, Electric Systems, Optimization
    • Host: Hongbo Sun
    • Apply Now
  • OR2112: Time Series Analysis and Deep Learning

    • MERL is looking for a self-motivated intern to develop algorithms for time series data analytics, system identification, and deep learning. The ideal candidate would be a senior PhD student with experience in one or more of the following areas: system identification, deep learning, mathematical optimization. Strong programming skills using Python/PyTorch are expected. Experience in developing heuristics for nonconvex optimization problems and building spatial-temporal prediction models 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: Artificial Intelligence, Data Analytics, Machine Learning, Optimization
    • Host: BinBin Zhang
    • Apply Now