Optimization Algorithms Intern - Python/C++, Gurobi

GOTAFE; Cambridge (MA); On-site; USD 67,000 - 89,000; Full time

Benefits offered by this job

Relocation stipend and travel to MERL

Monthly Charlie Card for local commute

Health insurance after 90 days

Weekly social gatherings

Professional development talks

Immigration support

Job summary

GOTAFE in Cambridge, MA is seeking a researcher to develop novel optimization algorithms, focusing on mixed-integer programming, and to explore reoptimization methods and algorithm acceleration.

You will collaborate with the MERL optimization research team on both theoretical and computational research, using Python or C++ and Gurobi. Relocation support and health coverage after a 90-day period are available.

Qualifications

• Strong background in mathematical optimization, especially linear and mixed-integer programming.
• Experience with mathematical modeling and programming in Python and/or C++.
• Familiarity with optimization solvers such as Gurobi.

Responsibilities

• Developing novel algorithms for challenging optimization problems, focusing on mixed-integer programming.
• Exploring research directions such as reoptimization methods and algorithm acceleration.
• Collaborating with the optimization research team at MERL on theoretical and computational research.

Skills

Mathematical optimization

Linear programming

Mixed-integer programming

Collaborative research

Tools

Gurobi

Python

C++

Job description

GOTAFE in Cambridge, MA is seeking a researcher to develop novel optimization algorithms, focusing on mixed-integer programming, and to explore reoptimization methods and algorithm acceleration.

You will collaborate with the MERL optimization research team on both theoretical and computational research, using Python or C++ and Gurobi. Relocation support and health coverage after a 90-day period are available.