Computer Vision & 3D Asset Reconstruction Student Employee (REQ-4012)

The Student Will Support the Following Activities:

• Design and develop an automated indoor imaging/scanning rig
• Implement photogrammetry and/or Structure-from-Motion (SfM) techniques for 3D reconstruction
• Support image acquisition, camera calibration, and generation of 3D models from collected data.
• Document findings and present results.

Qualifications:

• Strong programming skills in Python; C++ is a plus.
• Foundational understanding of computer vision, image processing, and AI/ML concepts.
• Familiarity with image processing tools and libraries such as OpenCV.
• Coursework or project experience working with 3D data (e.g., point clouds, meshes, or digital models).
• Basic understanding of camera systems, image acquisition, and camera calibration concepts.
• Strong documentation skills including experiment logs, technical reports, and maintainable code practices.
• Motivated to learn new tools and techniques in computer vision, imaging systems, and robotics.

Ideal Candidate:

• Currently pursuing a Master’s, or Ph.D. degree in Computer Science, Electrical Engineering, Computer Engineering, Robotics, Mechanical Engineering, Mechatronics, or a related technical field.
• Hands-on experience with photogrammetry, Structure-from-Motion (SfM), Multi-View Stereo (MVS), or related 3D reconstruction methods.
• Familiarity with PyTorch, TensorFlow, OpenCV, or related computer vision frameworks.
• Experience manipulating point cloud data using Open3D, PCL, CloudCompare, or similar tools.
• Experience with embedded systems and hardware platforms such as Arduino, Raspberry Pi, Jetson, or microcontrollers.
• Experience integrating sensors such as RGB cameras, depth cameras, LiDAR, or IMUs.
• Basic math background in linear algebra, geometry, camera models, and 3D transformations.
• Basic understanding of automation systems involving motors, actuators, or control systems.

Additional Skill Experience:

• Hands-on experience designing or building imaging systems, scanning systems, or experimental test setups.
• Experience with Jetson or edge computing platforms for vision applications.
• Experience with 3D model generation, mesh optimization, and digital twin development.
• Previous research publications and/or a strong academic project portfolio.
• Interest in robotics, computer vision, digital twins, and applied AI research.

*Duration is TBD with the possibility of extension. Hours and schedule will be discussed with hiring team.