Internship: Time Series Pattern Matching and Discovery
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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