Research Scientist - Control & Learning

Mitsubishi Electric Research Laboratories (MERL), the US subsidiary of the corporate research & development (CR&D) organization of Mitsubishi Electric Corporation, invites qualified candidates to apply for the position of Research Scientist to join the Electric Systems Automation team. Aiming to be a premiere research laboratory and the prime source of technology for Mitsubishi Electric Corporation in our areas of expertise, MERL conducts application-motivated research and development that advances the frontiers of technology and makes lasting impacts on the world. MERL supports and encourages publishing and presenting research results in top international conferences and peer-reviewed journals, collaborating with university professors and students, and maintaining an influential presence in the academic community.

Our team conducts fundamental research and development to solve challenging industrial problems in the quest for smart factory and electrification, including, but not limited to, multi-physics modeling, simulation and system optimization, fault diagnosis, and optimal & learning control. We are seeking a candidate who can complement and expand the expertise of our team in the intersection of machine learning/AI, optimization, and control.

Responsibilities for this position include:

• Conducting original research aiming to advance the state-of-the-art in control & learning theory for the potential application to industrial process planning, process optimization, factory automation systems,
• Publishing results in leading technical journals, conferences, and in patent applications,
• Partnering with CR&D, business units, and academic groups in the execution of projects,
• Transferring results and technology to CR&D laboratories, and business units, and
• Drafting project proposals with long-term research goals and leading research projects
  
  

Qualifications for this position are:

• Ph.D. from an internationally recognized institution in Electrical Engineering, Mechanical Engineering, Computer Science, or other relevant fields,
• Strong publication record demonstrating innovative research achievements,
• Experience with real-world applications and strong depth in control & learning, and
• Strong teamwork, communication, writing, presentation, and leadership skills.
  
  

Contact: Yebin Wang

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.