Internship: Real-Time Face Alignment

Cambridge, Massachusetts, United States · CV · 1036 expand job description ↓


MERL is seeking a highly motivated intern to conduct original research in the area of face alignment (determining the locations of multiple facial landmarks) from images and video. The successful candidate will collaborate with MERL researchers to derive and implement new models, conduct experiments, and prepare results for publication. This project will also focus on tailoring algorithms to a real-world product. The ideal candidate would be a senior PhD student in computer vision with experience in face alignment, tracking, 3D head pose estimation, and machine learning. Strong C/C++ programming and Matlab experience are expected. Duration: 3-6 months. Starting date can be as early as January 2017.

Research Area: Computer Vision

Contact: Tim Marks

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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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