Optimization Research Intern: MIP Algorithms & Innovation

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

Benefits offered by this job

Relocation stipend

Health insurance (after 90 days)

Weekly social gatherings

Professional development talks

Immigration support

Monthly Charlie Card

Job summary

NWU seeks a researcher to develop novel algorithms for challenging optimization problems, with a focus on mixed-integer programming. You will model problems in Python and/or C++, and work with Gurobi to test and benchmark approaches.

You will collaborate with the optimization research team at MERL, exploring reoptimization, algorithm acceleration, and industrial applications, while relocation support, health insurance after 90 days, a Charlie Card, and ongoing professional development are

Qualifications

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

Responsibilities

• Develop novel algorithms for challenging optimization problems, focusing on MILP.
• Explore research directions such as reoptimization, acceleration, and industrial applications.
• Collaborate with the optimization research team at MERL on theoretical and computational research.

Skills

Mathematical optimization

Linear & MILP

Python

C++

Gurobi

Tools

Gurobi

Job description

NWU seeks a researcher to develop novel algorithms for challenging optimization problems, with a focus on mixed-integer programming. You will model problems in Python and/or C++, and work with Gurobi to test and benchmark approaches.

You will collaborate with the optimization research team at MERL, exploring reoptimization, algorithm acceleration, and industrial applications, while relocation support, health insurance after 90 days, a Charlie Card, and ongoing professional development are