Internship: Statistical Learning Theory and Applications

Cambridge, Massachusetts, United States · EC · 1150 expand job description ↓


We are looking for a qualified recent PhD graduate or PhD student to conduct research in the area of statistical learning. The assigned work may include theoretical analysis, or development of novel algorithms for applications such as sensor fusion, physical-layer communications, networking, battery modeling. Strong programming skills in MATLAB/Python are required. The duration of the internship is expected to be 3-6 months, with flexible start date. Publication of the results produced during the internship is anticipated.

Research Area: Electronics & Communications

Contact: Milutin Pajovic

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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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