Heritage Imaging & AI Engineer

University of Kentucky

Lexington (KY)

On-site

USD 64,000 - 106,000

Full time

9 days ago

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Benefits offered by this job

Exceptional Benefits
Collaborative environment
Professional growth opportunities

Job summary

The University of Kentucky is seeking a Computer Vision Engineer to join the EduceLab research team within the Department of Computer Science in Lexington, KY. The role focuses on advancing imaging, AI, and computer vision work aimed at cultural heritage preservation and scientific understanding.

The successful candidate will develop imaging workflows, design software solutions, and support research infrastructure, contributing to heritage science AI initiatives and interdisciplinary projects in

Qualifications

  • Master's degree is required.
  • At least 2 years of related experience.
  • Experience with computer vision and imaging systems.
  • Strong Python programming skills and software development experience.
  • Knowledge of AI, machine learning, and data analysis techniques.

Responsibilities

  • 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 CV applications.
  • Manage and support advanced imaging hardware including cameras, lighting, and CT equipment.

Skills

Python
Computer Vision
AI/ML
Imaging systems
Project management
Technical communication

Education

MS

Tools

Python
Photogrammetry software
3D visualization tools

Job description

The University of Kentucky is seeking a Computer Vision Engineer to join the EduceLab research team within the Department of Computer Science in Lexington, KY. The role focuses on advancing imaging, AI, and computer vision work aimed at cultural heritage preservation and scientific understanding.

The successful candidate will develop imaging workflows, design software solutions, and support research infrastructure, contributing to heritage science AI initiatives and interdisciplinary projects in

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