Computer Vision & 3D Asset Reconstruction Student Employee

Position Title:

Computer Vision & 3D Asset Reconstruction Student Employee
Requisition ID:

REQ-4012
Position Type:

Part time
Location:

Charlotte, NC
Job Summary and Description

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 (point clouds, meshes, or digital models)
Basic understanding of camera systems, image acquisition, and 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
The hourly rate range for Student positions are:
Undergraduate: $16-29 per hour
Masters: $27-33 per hour
Ph.D: $31-36 per hour
These ranges are an estimate, and the actual hourly rate may vary based on various factors, including without limitation applicant's education, experience, skills, and abilities, as well as internal equity and alignment with market data. The hourly rate may also be adjusted based on applicant's geographic location.
As an EPRI Student, you will not participate in EPRI's Benefit Programs which includes health insurance, retirement benefits, vacation, sick leave (except as set required by law) and holiday pay. However, as a Student employee you are eligible for the benefits of Social Security, State Disability Insurance, and Workers' Compensation Insurance.
Relocation assistance is not provided and the student will be responsible for covering all relocation costs/expenses.
EPRI participates in E-Verify, an online system operated jointly by the Department of Homeland Security and the Social Security Administration. EPRI uses the system to check the work status of new hires by comparing information from the employee's I-9 form against SSA and Department of Homeland Security databases.
EPRI is an equal opportunity employer. EEO/AA/M/F/VETS/Disabled
Together Shaping the Future of Energy.
www.epri.com

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