Research Scientist - Optimization Algorithms

Staff – Research Scientist – Optimization Algorithms

Our team addresses optimization problems arising from a variety of domains including electric grids, drones, transportation, and supply chain management. 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.

• Conduct innovative and relevant research in optimization algorithms with applications to electric grids, transportation, and supply chain optimization.
• Develop a research agenda impacting both the scientific community and future company technology.
• Publish results in leading technical journals, conferences, and in patent applications.
• Apply research results to company‑relevant R&D projects.
• Collaborate with research staff, academic partners, and mentor interns.
• Transfer results and technology to Mitsubishi Electric corporate research laboratories.

• A Ph.D. from an internationally recognized institution in computer science, mathematics, numerical analysis, or a related discipline with a focus on optimization.
• A strong publication record, consistent with experience.
• Extensive knowledge of numerical optimization algorithms for convex programming and possibly mixed‑integer programming.
• Strong programming skills in at least C/C++, Python, Julia, or 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.

Pay range: $135,000 – $170,000 per year. Actual base pay will depend on a variety of individualized factors, including job‑related knowledge, skills, and experience.

• Annual performance‑based bonus and comprehensive benefits program including medical, dental, and vision coverage.
• Generous 401(k) match.
• Commuting and home office stipends and paid time off, including vacation, sick time, personal, and parental leave.

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 employees to perform their job duties may result in discipline up to and including discharge.