Computer Vision & 3D Asset Reconstruction Student Employee

Job Title

Computer Vision & 3D Asset Reconstruction Student Employee
Location

Charlotte, NC
Job Summary

We are looking for a student to support the following activities:
Responsibilities

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.
Compensation

Undergraduate: $16–29 per hour
Masters: $27–33 per hour
Ph.D.: $31–36 per hour
Rates may vary based on education, experience, skills, ability, and internal equity considerations. Additional adjustments may be made for geographic location.
Benefits and Notes

As an EPRI Student, you will not participate in EPRI’s benefit programs, which include health insurance, retirement benefits, vacation, sick leave (except as required by law), and holiday pay. However, you are eligible for Social Security, State Disability Insurance, and Workers’ Compensation Insurance.
Relocation assistance is not provided for student positions that require relocation to an EPRI office.
EEO Statement

EPRI is an equal opportunity employer. EEO/AA/M/F/VETS/Disabled.

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