Internship - Visual Simultaneous Localization and Mapping (V-SLAM)
About The Position
MERL seeks a self-motivated graduate student to conduct research on Visual Simultaneous Localization and Mapping (V-SLAM). Depending on the candidates expertise and interests, the internship may focus on topics such as but not limited to camera pose estimation, feature detection and matching, visual-LiDAR data fusion, pose-graph optimization, loop closure detection, and image-based camera relocalization. The ideal candidate is a PhD student with a strong foundation in 3D computer vision and proficient programming skills in C/C++ and/or Python. Applicants should have at least one publication in a premier computer vision, machine learning, or robotics conference, such as CVPR, ECCV, ICCV, NeurIPS, ICRA, or IROS. The intern will collaborate with MERL researchers to develop and implement novel algorithms for V-SLAM, perform experiments, and document research outcomes. The work is expected to lead to a submission to a top-tier conference. The start date and internship duration are flexible.
Requirements
- Experience with 3D Computer Vision and Simultaneous Localization & Mapping (SLAM).
- PhD student
- strong foundation in 3D computer vision
- proficient programming skills in C/C++ and/or Python
- at least one publication in a premier computer vision, machine learning, or robotics conference, such as CVPR, ECCV, ICCV, NeurIPS, ICRA, or IROS
Responsibilities
- develop and implement novel algorithms for V-SLAM
- perform experiments
- document research outcomes
Benefits
- relocation stipend
- covered travel to and from MERL
- monthly Charlie Card for local commuting
- weekly social gatherings
- professional development opportunities, including research talks by both internal and external speakers
- health insurance coverage (after 90-day waiting period)
- immigration support for qualified candidates as needed
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What This Job Offers
Career Level
Intern
Industry
Professional, Scientific, and Technical Services
Education Level
Ph.D. or professional degree
Number of Employees
101-250 employees
