Internship: Privacy-Preserving Data Analytics
MERL is seeking a highly motivated and qualified intern to work on privacy-preserving technologies. The intern will collaborate with MERL researchers on developing novel approaches to privacy-preserving data analytics. The ideal candidate would have research experience in data privacy, machine learning, and information theory. A mature understanding of statistical inference and stochastic processes, proficiency with Python, and familiarity with machine learning libraries are expected. Proficiency with other programming languages and software development experience is a plus. Candidates at or beyond the middle of their Ph.D. program are encouraged to apply.
Research Area: Multimedia
Contact: Ye Wang
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