Internship - Computational Optimization

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Mitsubishi Electric Research Laboratories

51-200 employeesFounded 1991Cambridge, MAResearch
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Best applied by Nov 25

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About the role#

Mitsubishi Electric Research Laboratories is looking for a research intern to join the optimization team. You will work on theoretical and computational research related to mathematical optimization. This position is based in Cambridge, Massachusetts, and involves working on-site.

What you'll do#

You will develop new algorithms for difficult mathematical optimization problems. The work focuses on mixed-integer programming. Key tasks include:

  • Creating efficient reoptimization methods.
  • Working on algorithm acceleration.
  • Applying your research to industrial optimization problems.

What you'll need#

We are looking for students in Mathematics, Computer Science, Computer Engineering, or Industrial Engineering. You should have a strong background in mathematical optimization, specifically linear and mixed-integer programming. Other requirements include:

  • Experience with mathematical modeling.
  • Proficiency in Python or C++.
  • Practical experience using optimization solvers like Gurobi.

Location & details#

  • Location: Cambridge, MA.
  • Modality: On-site.
  • Compensation: 6,000 to 8,000 USD per month.
  • Status: Full-time with rolling start dates.
  • Support: Sponsorship is available for qualified candidates. Interns receive a relocation stipend, travel coverage, and a monthly Charlie Card. Health insurance is available after a 90-day waiting period.

About Mitsubishi Electric Research Laboratories

Mitsubishi Electric Research Laboratories is the United States subsidiary of the corporate research and development division of Mitsubishi Electric Corporation. Founded in 1991 and based in Cambridge, Massachusetts, the organization employs between 51 and 200 people. It conducts basic and applied research in fields such as artificial intelligence, signal processing, and multi-physical modeling. The laboratory publishes its findings to support collaboration with the global research community.

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