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Full Time Computer Vision Postdoc Jobs (NOW HIRING)

MOLG Inc.

Computer Vision Engineer

Sterling, VA · On-site

$110K - $130K/yr

Hours: Full-time Location: Molg HQ in Chantilly, VA (Northern Virginia) Salary: Competitive ... As a Computer Vision Engineer, you will be responsible for: * Continuous design, development ...

Booz Allen Hamilton

Computer Vision AI Engineer

Mclean, VA · On-site

$99K - $225K/yr

Computer Vision AI Engineer The Opportunity: Booz Allen is seeking an innovative and experienced AI ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton

Computer Vision AI Engineer

Aurora, CO · On-site

$99K - $225K/yr

Computer Vision AI Engineer The Opportunity: Booz Allen is seeking an innovative and experienced AI ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton

Computer Vision AI Engineer

Mclean, VA · On-site

$99K - $225K/yr

Computer Vision AI Engineer The Opportunity: Booz Allen is seeking an innovative and experienced AI ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton

Computer Vision AI Engineer

Aurora, CO · On-site

$99K - $225K/yr

Computer Vision AI Engineer The Opportunity: Booz Allen is seeking an innovative and experienced AI ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Darbytek

Sr. Computer Vision Engineer

Austin, TX · On-site

$180K - $250K/yr

We are seeking a Full-time Sr Level Computer Vision Engineer to help provide expertise to our team here in Austin TX. Candidates must be local or willing to relocate. Very lucrative opportunity to ...

Quidient

Senior Computer Vision Engineer

Columbia, MD · On-site

$160K - $210K/yr

This is a full-time hybrid position based in Columbia, Maryland. What You'll Do Computer Vision Pipelines * Own and maintain end-to-end computer vision pipelines - from image preprocessing and ...

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Full Time Computer Vision Postdoc information

What is a full time computer vision postdoc?

A Full Time Computer Vision Postdoc is a researcher who has completed their PhD and works full time on advanced research projects involving computer vision. This role typically involves developing new algorithms, conducting experiments, publishing papers, and collaborating with other scientists in areas such as image recognition, object detection, and machine learning. Postdocs often work at universities, research institutes, or tech companies, and their work helps drive innovation in fields like robotics, healthcare, and autonomous vehicles. The position is generally temporary, lasting from one to three years, and is designed to build expertise before pursuing more permanent academic or industry roles.

What are the key skills and qualifications needed to thrive as a full time computer vision postdoc?

To thrive as a Full Time Computer Vision Postdoc, you need a strong background in computer vision, machine learning, and mathematical modeling, typically supported by a PhD in computer science, engineering, or a related field. Experience with programming languages such as Python or C++, deep learning frameworks (e.g., TensorFlow, PyTorch), and familiarity with version control and high-performance computing environments are commonly required. Strong analytical thinking, problem-solving abilities, and effective communication are crucial for collaborating with interdisciplinary teams and publishing research findings. These skills ensure the ability to drive innovative research, contribute to scientific advancements, and meet the rigorous demands of academic or industry research environments.

What are some common challenges faced by a full time computer vision postdoc working in a research setting?

As a Full Time Computer Vision Postdoc, you may encounter challenges such as balancing independent research with collaborative projects, staying current with rapid advancements in machine learning techniques, and managing the publication process for top-tier conferences and journals. Additionally, you'll often need to adapt your work to align with the broader goals of your research group or funding body. Effective communication and teamwork are essential, as you'll likely collaborate with other researchers, engineers, and sometimes industry partners to push the boundaries of computer vision applications.
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Infographic showing various Full Time Computer Vision Postdoc job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, and 6% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution.

Computer Vision Engineer

University of Kentucky

Lexington, KY • On-site

$64K - $105K/yr

Full-time

Posted 11 days ago

University Of Kentucky rating

7.5

Company rating: 7.5 out of 10

Based on 133 frontline employees who took The Breakroom Quiz

313th of 622 rated colleges and universities

Job description

Posting Details
Job Title Computer Vision Engineer Requisition Number RE55437 Working Title Department Name 8H040:Computer Science Work Location Lexington, KY Grade Level 48 Salary Range $64,210-105,914/year Type of Position Staff Position Time Status Full-Time Required Education
MS
Click here for more information about equivalencies: https://hr.uky.edu/employment/working-uk/equivalencies Required Related Experience
2 yrs
Required License/Registration/Certification
None
Physical Requirements
Requires lifting, pushing or pulling of objects up to 50 pounds.
Shift
Monday-Friday; and 8:00 am-5:00 pm.
Job Summary
Help Advance Cultural Heritage Research Through Imaging, AI, and Computer Vision
The University of Kentucky is seeking a Computer Vision Engineer to join the EduceLab research team within the Department of Computer Science.
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

What You'll Bring
  • 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

What's In It for You
  • Meaningful impact: Contribute to innovative research that advances cultural heritage preservation and scientific discovery
  • Cutting-edge technology: Work with advanced imaging, AI, and computer vision systems
  • Professional growth: Expand expertise in software engineering, data science, and research computing
  • Collaborative environment: Partner with researchers, engineers, students, and technology professionals
  • Research innovation: Help develop new tools and workflows that support interdisciplinary research initiatives
  • UK's Exceptional Benefits

Why Now?
Advances in artificial intelligence, imaging technologies, and high-performance computing are creating new opportunities to study, preserve, and interpret cultural heritage materials in ways that were not previously possible. EduceLab continues to expand its research capabilities and develop innovative approaches that combine engineering, computer science, and heritage science.
In this role, you'll help build the technologies and infrastructure that enable groundbreaking research while working alongside experts who are pushing the boundaries of imaging, visualization, and AI-driven discovery.
Skills / Knowledge / Abilities
Experience required in the following:
Scientific imaging (e.g. spectral photography, X-ray CT, photogrammetry), especially for
heritage applications
Scientific laboratory equipment and safety procedures
AI applications in heritage science, specifically to micro-CT images
Does this position have supervisory responsibilities? Yes Preferred Education/Experience Deadline to Apply 08/20/2026 Our University Community
We value the well-being of each of our employees and are dedicated to creating a healthy place for everyone to work, learn and live. In the interest of maintaining a safe and healthy environment for our students, employees, patients and visitors, the University of Kentucky is a Tobacco & Drug Free campus.
The University follows both the federal and state Constitutions as well as all applicable federal and state laws on nondiscrimination. The University provides equal opportunities for qualified persons in all aspects of institutional operations and does not discriminate on the basis of race, color, national origin, ethnic origin, religion, creed, age, physical or mental disability, veteran status, uniformed service, political belief, sex, sexual orientation, gender identity, gender expression, pregnancy, marital status, genetic information or social or economic status.
Any candidate offered a position may be required to pass pre-employment screenings as mandated by University of Kentucky Human Resources. These screenings may include a national background check and/or drug screen.

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About University of Kentucky

Sourced by ZipRecruiter

The University of Kentucky (UK), the state's flagship university, was founded in 1865 and its beautiful, sprawling campus, nestled in downtown Lexington, now covers over 900 acres and is home to more than 30,000 students and approximately 13,500 employees. The trees and beautifully manicured greenspaces are a source of pride for the university and combine to create an impressive oasis amidst the busy cityscape that surrounds it.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Lexington, KY, US

Year founded

1865

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