Research Scientist - Control & Dynamical Systems
Mitsubishi Electric Research Laboratories (MERL) located in Cambridge, Massachusetts, USA, is seeking qualified candidates in the Control and Dynamical Systems Group. The Control and Dynamical Systems group pursues cutting-edge research in control systems design, dynamical systems, optimization, and estimation algorithms with applications to transportation systems, automotive, satellite systems, factory automation and robotics, building systems and HVAC, and electric power systems. MERL is the North American Research and Development organization for Mitsubishi Electric Corporation, a $40B global leader in electrical products including building systems (elevators, HVAC), transportation systems (automotive and train mechatronics), space systems (satellites, telescopes), factory automation (robots, servo systems, laser processing), optical systems, and energy systems (power generation, photovoltaics).
Research areas of specific interest include (but are not limited to) integration of model-based and data-driven control methods, hybrid systems control design and formal methods for control synthesis, statistical estimation and control, and distributed control architecture design. The successful candidate is expected to perform leading research in control and dynamics, to demonstrate it through application to one or more of the domains above, to publish in top conferences and journals, and to develop over the years a fundamental research agenda aimed at impacting the scientific community and the Mitsubishi Electric's future technology. Strong interest in validating the research results in laboratory experiments and prototypes with appropriate support is expected.
Researchers at MERL collaborate with Mitsubishi Electric's corporate R&D laboratories & business units in Japan, Europe & North America, and academic partners around the world to develop technologies that extend the performance envelope of these systems. Research projects at MERL typically address industrially motivated fundamental problems, and involve the development of novel control theory and applications to Mitsubishi Electric products resulting in new technology that is transferred to the corporate R&D laboratories for subsequent product development. MERL is an open laboratory that intends to publish all of its research once appropriate patents are secured.
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.
Responsibilities for this position include:
- Conducting innovative and relevant research in control and dynamical systems,
- Developing a research agenda impacting both, the scientific community and the future company technology,
- Publishing results in leading technical journals, conferences and in patent applications,
- Applying the research results to company-relevant R&D projects,
- Collaborating with research staff, academic partners and mentoring interns,
- Transferring results and technology to Mitsubishi Electric corporate research laboratories.
Qualifications for this position are:
- A Ph.D. from an internationally-recognized institution in mechanical, electrical, aerospace engineering, computer science, or a related discipline, with a focus on control and dynamical systems.
- A strong publication record consistent with experience,
- Extensive knowledge of a main research subject and broad knowledge of control and dynamics,
- Strong teamwork, communication, listening and teaching skills, and
- Experience and interest in validating the research results in laboratory experiments and prototypes.