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.
