Internship: Active Learning For Physiological Modeling

Cambridge, Massachusetts, United States · DA · 1172 expand job description ↓

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 machine learning with experience and background in active learning. Preferred candidates will also have a background in transfer learning. The candidate is expected to have strong programming skills in Python with experience using pandas, scikit-learn and scipy. Exceptional candidates will also have some Android development experience. Candidates who hold a PhD or in their senior years of a Ph.D. program are encouraged to apply.


Mitsubishi Electric Research Laboratories, Inc. is an Equal Opportunity Employer. Please see our website http://www.merl.com for information relating to our research, and http://www.merl.com/publications/ to explore our publications.


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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