Internship: Time Series Pattern Matching and Discovery

Cambridge, Massachusetts, United States · DA · 1173 expand job description ↓


The Data Analytics Group at MERL is seeking a highly motivated, qualified individual to join our internship program in the summer of 2018. The ideal candidate is expected to have a strong background in time series analytics with experience in subsequence matching, feature representation, matching distance development. Preferred candidates will have a background either time series subsequence matching or in time series pattern discovery. The candidate is expected to have strong programming skills in an industrial programming language like C/C++, and a scripting language like Python or Matlab. Candidates who hold a PhD or in their senior years of a Ph.D. program are encouraged to apply.

Research Area: Data Analytics

Contact: Emil Laftchiev

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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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