Computer Vision & 3D Asset Reconstruction Student Employee

EPRI; Charlotte (NC); On-site; USD 37,195 - 49,593; Part time

Job summary

EPRI in Charlotte, NC is seeking a Computer Vision & 3D Asset Reconstruction Student Employee to support various imaging projects. The position focuses on designing an automated imaging rig and implementing advanced techniques for 3D reconstruction.

Ideal candidates are pursuing a Master’s or Ph.D. in a technical field and possess strong programming skills, especially in Python. This role offers a competitive hourly rate, ranging from $27 to $36 based on academic level and experience.

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.
• Coursework or project experience with 3D data.

Responsibilities

• Design and develop an automated indoor imaging/scanning rig.
• Implement photogrammetry and/or Structure-from-Motion techniques for 3D reconstruction.
• Support image acquisition and camera calibration.

Skills

Python programming

C++ programming

Computer vision

Image processing

AI/ML concepts

OpenCV

Education

Pursuing Master's or Ph.D. in Computer Science or related field

Tools

Open3D

PCL

CloudCompare

Arduino

Raspberry Pi

Jetson

Job description

Job Title

Computer Vision & 3D Asset Reconstruction Student Employee

Location

Charlotte, NC

Job Summary and Description

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.

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.

For Student positions which require one to relocate to an EPRI office. 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 (SSA). 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