Computer Vision & 3D Asset Reconstruction Student Employee

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/orStructure-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

Together Shaping the Future of Energy

EPRI provides thought leadership, industry expertise, and collaborative value to help the electricity sector identify issues, technology gaps, and broader needs that can be addressed through effective research and development programs for the benefit of society.

If you need help during the application process, please contact us at [email protected] .