Employment Openings

We are always on the lookout for exceptional scientists and engineers to join MERL.

With offices in Cambridge, MA, we offer a collaborative research environment with excellent benefits where talented people apply their skills and grow professionally. For students, we give scores of interns every year an opportunity to participate in exciting research in a stimulating environment with the likelihood of a publication as a result.

For a flavor of what MERL is like, browse our people, projects and publications pages. We also invite you to read the welcome letter from our Chairman, Dr. Richard C. Waters, which will give you a sense of the company culture. If you have an interest in working at MERL please submit your resume using the "apply online" button for one of the job openings below.

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.

 

Current Openings

 

EA2051: Research Scientist - Electric Systems Automation

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.

The Electric Systems Automation team conducts fundamental research and development to solve challenging industrial problems and applications related to smart factory and electrification, including, but not limited to, accurate multi-physics modeling, simulation and system co-optimization for rapid customization, fault diagnosis and predictive maintenance of factory equipment for lifecycle management, and optimal & learning control of mechatronic systems for performance & flexibility. We are seeking a candidate who can complement and expand the expertise of our team in the intersection of mathematical modeling, machine learning, optimization, and control.

Responsibilities for this position include:

  • Conducting original research aiming to advance the state-of-the-art in the fields: electrical machines & drive technology, precision mechatronics, multi-disciplinary system optimization, and optimal & learning control,
  • 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
  • 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, Applied Mathematics, Mechanical Engineering, Computer Science, Applied Physics, or other relevant fields,
  • Strong publication record demonstrating innovative research achievements,
  • Thorough engineering knowledge and strong depth in optimization & control, and
  • Strong teamwork, communication, writing, presentation, and leadership skills.

PRINCIPALS ONLY Apply Online. No phone calls please.

Mitsubishi Electric Research Laboratories, Inc. is an Equal Opportunity Employer.

 

OR2137: Research Scientist - Optimization & Intelligent Robotics

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 Optimization & Intelligent Robotics (OR) team.

The OR team addresses optimization problems arising from a variety of domains including electric grids, drones, robotics, transportation, and supply chain optimization. The applications of interest encompass the problem classes of continuous non-convex nonlinear programs and mixed-integer nonlinear programs. We are seeking candidates who can perform fundamental research in developing novel optimization algorithms, analysis of algorithms, incorporate machine learning techniques for improving performance of algorithms, and implementation of algorithms that can be deployed in application specific processing environments ranging from embedded processors to massively parallel architectures. The candidate will have an opportunity to learn about the specific application domains above and is expected to tailor algorithms for computational performance. Longer term interests also include the study of quantum processors and their impact on optimization in general. The successful candidate is expected to perform leading research in this area, 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.

Requirements

Responsibilities for this position include:

  • Conducting innovative and relevant research in optimization algorithms, possibly with applications to electric grids, robotics, transportation, and supply chain optimization,
  • 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 computer science, mathematics, numerical analysis, or chemical, industrial engineering, electrical, or a related discipline, with a focus on optimization,
  • A strong publication record, consistent with experience,
  • Extensive knowledge of a numerical optimization algorithms for convex programming and possibly mixed integer programming,
  • Strong programming skills, in at least some of C/C++, Python, Julia, Matlab,
  • Strong teamwork, communication, listening and teaching skills.
  • Seniority of the candidate will be considered to determine the position level. Interested parties must submit a cover letter and an up to one-page statement of research interests.

PRINCIPALS ONLY Apply Online. No phone calls please.

Mitsubishi Electric Research Laboratories, Inc. is an Equal Opportunity Employer.

 

CA2053: Research Scientist - Control for Autonomy

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 Control for Autonomy Team.

Research areas of specific interest include (but are not limited to) perception-based control (e.g., vision-based), interactive motion planning, learning for control, integration of model-based and data-driven control, real-time optimization for control, statistical estimation, and distributed control systems. The successful candidate is expected to perform leading research in control theory 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. Interest in validating the research results in laboratory experiments and prototypes with appropriate support is expected.

Responsibilities for this position include:

  • Conducting innovative and relevant research in control and related areas,
  • 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,
  • 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.

Seniority of the candidate will be taken into account to determine the position level. Interested parties must submit a cover letter and an up to one-page statement of research interests.

PRINCIPALS ONLY Apply Online. No phone calls please.

Mitsubishi Electric Research Laboratories, Inc. is an Equal Opportunity Employer.

 

CA2136: Research Scientist - Optimization Algorithms for Control

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 Control for Autonomy Team.

The research area of specific interest includes algorithms for numerical optimization, especially linear and quadratic programming, conic optimization, mixed-integer programming, sequential convex programming, optimization algorithms for trajectory generation, optimization algorithms for real-time control, and optimization algorithms for embedded platforms. The successful candidate is expected to perform leading research in this area, possibly with applications to control and dynamical systems, 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.

Requirements

Responsibilities for this position include:

  • Conducting innovative and relevant research in optimization algorithms, possibly with applications to real-time control or trajectory generation,
  • 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 computer science, mathematics, numerical analysis, or mechanical, electrical, aerospace engineering, or a related discipline, with a focus on optimization,
  • A strong publication record, consistent with experience,
  • Extensive knowledge of a numerical optimization algorithms for convex programming and possibly mixed integer programming,
  • Strong programming skills, in at least some of C/C++, Python, Julia, Matlab,
  • Strong teamwork, communication, listening and teaching skills.

Seniority of the candidate will be taken into account to determine the position level. Interested parties must submit a cover letter and an up to one-page statement of research interests.

PRINCIPALS ONLY Apply Online. No phone calls please.

Mitsubishi Electric Research Laboratories, Inc. is an Equal Opportunity Employer.