3D Computer Vision Researcher
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Job Summary
To advance 3D vision research from algorithms to open source applications, the full-time remote 3D Computer Vision Researcher will develop algorithms for photogrammetry, camera calibration, and 3D reconstruction from images and video, contributing to projects focused on aerial and satellite imagery.
Key responsibilities
- Conduct research and develop solutions involving camera calibration, registration, and 3D reconstruction from images
- Contribute to open source software such as TeleSculptor, KWIVER, and Danesfield
- Collaborate with other researchers to develop ideas and peer-review work
Required qualifications
- A PhD in Computer Science or a related field
- Experience using multiview geometry to develop algorithms for building 3D point clouds, meshes, Gaussian Splats, or NeRFs from imagery or video
- Experience with AI/ML methods for 3D reconstruction or camera calibration
- Proficiency in C++ and/or Python with good software development practices
- A strong publication record in top-tier research publications and conferences such as CVPR, ICCV, and ECCV
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