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# Computer Vision Engineer

- **Company:** University of Kentucky
- **Location:** Lexington, KY, United States
- **Experience:** Experienced
- **Salary:** $64,210.0 - $105,914.0
- **Contract:** Permanent contract
- **Skills:** Computer-Aided Design, Artificial Intelligence, Data Analysis, Computer Vision, Imaging Technology, Python (Programming Language), Machine Learning, Meta-Data Management, Scientific Computating, Software Engineering, Image Acquisition, Data Processing
- **Published:** August 13, 2026
- **Apply:** https://ukjobs.uky.edu/postings/643798/pre_apply

## About the Role

* Experience with computer vision, imaging systems, or scientific computing
 * Strong Python programming and software development skills
 * Knowledge of AI, machine learning, and data analysis techniques
 * Experience with photogrammetry, spectral imaging, micro-CT, or related imaging technologies
 * Familiarity with 3D data processing, visualization, and computational workflows
 * Strong technical communication and project management skills
 * Attention to detail and ability to manage multiple priorities in a research environment

Minimum Requirements

 * Master's degree
 * 2 years of related experience

## Description

This position supports cutting-edge research at the intersection of computer vision, artificial intelligence, imaging science, and cultural heritage preservation. The successful candidate will develop imaging workflows, design software solutions, support advanced research infrastructure, and help drive innovation in the lab's heritage science AI initiatives.

What You'll Do

 * Develop software and AI-driven tools for image capture, volumetric data processing, and visualization
 * Design and implement applications for photogrammetry, multi-camera systems, and automated imaging workflows
 * Build Python-based pipelines for image processing, micro-CT reconstruction, metadata management, and data analysis
 * Develop and optimize algorithms for segmentation, mesh generation, texture mapping, and computer vision applications
 * Manage and support advanced imaging hardware, including cameras, lighting systems, and CT equipment
 * Create and maintain technical documentation, protocols, and workflow standards
 * Process and integrate 3D surface, volumetric, and analytical datasets
 * Support outreach activities, laboratory demonstrations, recruitment events, and research presentations


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