- 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.
- A Ph.
- 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.
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Research Scientist - Cambridge, United States - Mitsubishi Electric Research Labs
Description
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.
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 agendaResponsibilities for this position include:
Qualifications for this position are:
"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.
