Internship: Quadratic Assignment Problems

Cambridge, Massachusetts, United States · DA · 1169 expand job description ↓


The Data Analytics group at MERL is seeking a highly motivated intern to work on the development of novel optimization algorithms for quadratic assignment problems (QAPs). The target applications span a broad range of areas including markets, transportation and scheduling. Successful candidate will collaborate with MERL researchers to develop and implement new algorithms, conduct experiments, and prepare results for publication. Ideal candidate would be senior PhD students with experience in one or more of the following areas: mixed integer programming, constraint programming, semidefinite programming. Strong programming skills and fluency in C++/Matlab/Python are expected. Prior experience with popular optimization packages such as Ipopt, Gurobi, Cplex is a plus. The duration of the internship is expected to be 3 months. Start date is flexible.

Research Area: Data Analytics

Contact: Arvind Raghunathan

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Are you qualified to apply for an internship at MERL? Qualified applicants for MERL internships are individuals who have or can obtain full authorization to work in the U.S. and do not require export licenses to receive information about the projects they will be exposed to at MERL. The U.S. government prohibits the release of information without an export license to citizens of several countries, including, without limitation, Cuba, Iran, North Korea, Sudan and Syria (Country Group E:1 of Part 740, Supplement 1, of the U.S. Export Administration Regulations).
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