Internship: Statistical Learning Theory and Applications

Cambridge, Massachusetts, United States · EC · 1150


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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