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Staff - Research Scientist - Optimization Algorithms

Mitsubishi Electric Research Laboratories, Inc.

Cambridge

On-site

GBP 40,000 - 70,000

Full time

16 days ago

Job summary

Mitsubishi Electric Research Laboratories is looking for a Research Scientist specializing in optimization algorithms. The role involves conducting advanced research to develop novel algorithms, working on applications in electric grids and transportation, and publishing impactful research findings. Candidates should have a Ph.D. and strong programming skills in C/C++, Python, or similar languages, along with a solid background in numerical analysis and optimization techniques.

Qualifications

  • Strong publication record in the field.
  • Extensive knowledge of numerical optimization.
  • Seniority level will determine the position.

Responsibilities

  • Conduct innovative research in optimization algorithms.
  • Publish results in leading journals and conferences.
  • Collaborate with team members and mentor interns.

Skills

Programming
Teamwork
Communication
Optimization Knowledge

Education

Ph.D. in Computer Science or related discipline

Tools

C/C++
Python
Julia
Matlab

Job description

Career Opportunities with Mitsubishi Electric Research Laboratories

A great place to work.

Current job opportunities are posted here as they become available.

Staff - Research Scientist - Optimization Algorithms

Department: OR - Optimization and Intelligent Robotics

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.

Responsibilities for this position include:

  • Conducting innovative and relevant research in optimization algorithms, possibly with applications to electric grids, 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.
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