Internship: Vision-Based Road Condition Estimation

Cambridge, Massachusetts, United States · CV · 1039 expand job description ↓


MERL is seeking a highly motivated intern to conduct original research in the area of vision-based road condition estimation. The successful candidate will collaborate with MERL researchers to derive and implement new models, collect data, conduct experiments, and prepare results for publication. The ideal candidate would be a senior PhD student in computer vision with experience in convolutional neural networks (e.g., for semantic segmentation), camera geometry, and machine learning. Strong programming skills (C/C++, Matlab, etc.) are expected.

Research Area: Computer Vision

Host: 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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