Internship: Video anomaly detection

Cambridge, Massachusetts, United States · CV · 1142 expand job description ↓


MERL is searching for a graduate student to work on algorithms for anomaly detection in videos. Ideal candidates will have a strong background in computer vision and machine learning and good programming skills. The intern will be expected to design and implement new algorithms for detecting anomalous behavior in videos, as well as conduct experiments and prepare results for publication. Familiarity with recent work on video anomaly detection as well as experience with a deep learning package is a plus. The expected duration is 3 months starting in summer 2018.

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

Research Area: Computer Vision

Contact: Mike Jones

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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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