Internship: Privacy-Preserving Data Analytics

Cambridge, Massachusetts, United States · MM · 1075 expand job description ↓

Description

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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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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