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 President, 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.
Qualified applicants for employment at MERL are individuals who have or can obtain full authorization to work in the U.S. and do not require export licenses to receive information about the projects they will be exposed to at MERL. The U.S. government prohibits the release of information without an export license to citizens of several countries, including, without limitation, Cuba, Iran, North Korea, Sudan and Syria (Country Groups E:1 and E:2 of Part 740, Supplement 1, of the U.S. Export Administration Regulations).
- CV1526: Research Scientist or Senior Research Scientist - Computer Vision
- SP1578: Research Scientist - Computational Sensing
MERL is seeking qualified applicants for the position of Research Scientist or Senior Research Scientist in the Computer Vision Group with an emphasis on understanding static and dynamic 3D point cloud data in combination with 2D images/videos.
The Computer Vision group at MERL pursues cutting-edge research in deep and reinforcement learning for information and knowledge capture, extraction, analysis, and display from 2D images/videos, stereo images, and 3D point clouds, including object/action detection, segmentation and classification, robotics, 3D reconstruction, anomaly detection, 3D graphics & modeling, and image processing. The group applies its CV knowledge to do research inspired by challenging industrial problems in areas including robotics, medicine, automobiles, safety and security, retail systems, large and small displays, and building systems. We also contribute to and maintain strong connections in the research community, as well as collaborate with many other groups in MERL including controls, data analytics, signal processing, speech and audio processing to build innovative multi-disciplinary teams.
We are currently searching for a researcher to work on problems of machine learning, including deep learning for object and action detection, classification, and labeling in 2D images/videos and 3D point clouds, with the emphasis on point clouds.
The successful candidate will be expected to initiate, lead and perform original research within the above areas, and to extend MERL's domain of expertise. Further qualifications are detailed below.
- Identify new fundamental and applied research problems and develop solutions that are broadly useful.
- Conduct research to evaluate these solutions and publish results in selective peer-reviewed conferences and journals.
- Conceive futuristic business possibilities and the technology and methods needed to address them.
- Collaborate with other brilliant researchers at MERL across all groups and fields.
- Collaborate with smart researchers and engineers in the Mitsubishi Electric research labs in Japan to transfer knowledge and technology for further development and possible commercialization.
- Assist in the preparation of patent applications related to your work.
The successful candidate will bring an independent research agenda and a track record commensurate with experience, and be willing and able to form and work within interdisciplinary R&D teams. This opportunity is to shape and drive a corporate R&D agenda in computer vision and robotics, with the intent to impact the academic research field and MELCO businesses. Additional responsibilities may include strategic planning, mentoring and supervision of technical staff and interns with the potential to lead a team and make additional hires in this research area.
- A Ph.D. in Computer Science, Electrical Engineering or related fields specializing in Computer Vision with an emphasis on machine learning in all areas related to 3D point clouds: object/action detection, recognition, segmentation, tracking, completion, and understanding.
- Excellent programming skills (C/C++, Matlab, Python, etc).
- Good communication, presentation and writing skills are esssential.
- Qualified applicants for employment at MERL are individuals who have or can obtain full authorization to work in the U.S. and do not require export licenses to receive information about the projects they will be exposed to at MERL.
MERL is the cutting-edge US research lab of Mitsubishi Electric Corporation, a Japanese industrial manufacturer nearly 100 years old with $42.9B in annual revenue in 2019 and more than 146,000 employees worldwide. MERL has all the resources and diverse technical specialties of a giant international electronic technology company, but, with a staff of 83, has the very intimate and comfortable environment of a small company. We have smart, light handed managers that give researchers broad opportunities to pursue their own research topics. This is possible because our parent company makes so many different products that it's almost impossible to not find a valuable application for our research ideas. Indeed, it's the opportunity to solve real-world problems and transfer technology to Japanese researchers for commercialization that make MERL so attractive to many of us.
Our culture is friendly, open and relaxed with many collaborative projects within and between research groups and disciplines. We are encouraged to published and participate in the academic community. We host many interns every year (more than 100 in 2019) and provide great creative environment. We are literally across the street from MIT and down the road from Harvard University and regularly attend talks and collaborate with University researchers.
PRINCIPALS ONLY Apply Online. No phone calls please.
Mitsubishi Electric Research Laboratories, Inc. is an Equal Opportunity Employer.
Mitsubishi Electric Research Laboratories (MERL, www.merl.com) located in Cambridge, Massachusetts, USA, invites qualified candidates to apply for the position of Research Scientist in the Computational Sensing Team within the Signal Processing Group. Successful candidates will be expected to perform original, relevant research in the broad area of computational sensing. Focus on a particular application area is desired but not necessary. Areas of interest include, but are not limited to, array signal processing, coherent optical systems, computational imaging, sensor fusion, and inverse problems. Additionally, experience with machine learning methods and their application to the above sensing areas is desired.
The Signal Processing Group at MERL conducts research that encompasses a wide range of work in the areas of sensing, estimation, localization, inverse problems, sparse reconstruction, array signal processing, and communications. Within the Signal Processing Group the Computational Sensing Team explores novel approaches for signal acquisition and sensing, methods to filter and recover signals in the presence of noise and other degrading factors, and techniques that infer meaning from the processed signals and fusing signals from multiple sensing modalities.
At MERL, researchers have wide latitude to set their own path and pursue their passions. We are proud to foster an environment that values both fundamental scientific contributions and their application to real business. MERL provides a unique level of freedom and flexibility among industrial research labs.
As a Research Scientist of our staff, you will be identifying new problems and solutions that have broad application and are fundamentally useful both in the field of signal processing and for the parent company. You will conduct innovative research and publish your results in selective peer-reviewed conferences and journals.
The successful candidate will bring an independent research agenda and a track record commensurate with experience and be willing and able to form and work within interdisciplinary R&D teams. This is a position with the opportunity to impact the academic research field, and guide Mitsubishi Electric businesses and products. Additional opportunities may include strategic planning, mentoring and supervision of technical staff and interns, and establishment of academic partnerships.
Qualifications for this position are:
- A Ph.D. from an internationally recognized institution in electrical engineering, applied mathematics, computer science or equivalent.
- Knowledge of modern signal processing, sensing and inference theory, modelling, machine learning, and experience with real world data and its applications.
- Ability to rapidly implement and test algorithms and system designs.
- A strong publication record in leading conferences and journals, consistent with experience.
- A record for independently proposing and executing research programs.
- Strong teamwork, communication, listening, writing, and presentation skills.