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How much do computer vision postdoc jobs pay per year?

As of May 30, 2026, the average yearly pay for computer vision postdoc in the United States is $117,132.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,000.00 and $160,000.00 per year, depending on experience, location, and employer.

What is a Computer Vision Postdoc job?

A Computer Vision Postdoc is a research-focused position typically held after completing a Ph.D. in computer vision, machine learning, or a related field. The role involves conducting advanced research, developing algorithms, publishing papers, and collaborating with academic or industry partners. Responsibilities may include working on deep learning models, image processing techniques, and real-world applications like autonomous driving or medical imaging. This position is usually temporary, lasting one to three years, and serves as a stepping stone to academic or industry research roles.

What are the key skills and qualifications needed to thrive in the Computer Vision Postdoc position, and why are they important?

A Computer Vision Postdoc typically requires a PhD in computer science, electrical engineering, or a related field, with strong expertise in machine learning, image processing, and algorithm development. Familiarity with programming languages such as Python or C++, and experience using frameworks like TensorFlow, PyTorch, or OpenCV is often essential. Strong analytical thinking, effective communication, and project management skills help distinguish successful candidates. Mastery of these skills enables impactful research, effective collaboration, and the ability to translate complex concepts into practical results.

What are typical research activities and collaborations for a Computer Vision Postdoc?

As a Computer Vision Postdoc, your day-to-day work often involves designing and running experiments, developing new algorithms, and publishing research findings in academic journals or at conferences. You will closely collaborate with a multidisciplinary team of faculty members, graduate students, and sometimes industry partners to solve complex visual perception problems. Many postdocs also mentor junior researchers and may participate in grant writing or lab meetings. This collaborative environment provides valuable opportunities for expanding your professional network and honing your research leadership skills.
More about Computer Vision Postdoc jobs
What cities are hiring for Computer Vision Postdoc jobs? Cities with the most Computer Vision Postdoc job openings:
What are the most commonly searched types of Computer Vision Postdoc jobs? The most popular types of Computer Vision Postdoc jobs are:
What states have the most Computer Vision Postdoc jobs? States with the most job openings for Computer Vision Postdoc jobs include:
What job categories do people searching Computer Vision Postdoc jobs look for? The top searched job categories for Computer Vision Postdoc jobs are:
Computer Vision Postdoc jobs near you
Infographic showing various Computer Vision Postdoc job openings in the United States as of May 2026, with employment types broken down into 93% Part Time, and 7% Contract. Highlights an 100% Remote job distribution, with an average salary of $117,132 per year, or $56.3 per hour.
Artificial Intelligence and Computer Vision for Materials Postdoctoral Research Associate

Artificial Intelligence and Computer Vision for Materials Postdoctoral Research Associate

Los Alamos National Laboratory

Los Alamos, NM • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Los Alamos National Laboratory rating

9.2

Company rating: 9.2 out of 10

Based on 32 frontline employees who took The Breakroom Quiz

7th of 103 rated laboratories

Job description

Description
Job Title Artificial Intelligence and Computer Vision for Materials Postdoctoral Research Associate
Location Los Alamos, NM, US
Organization Name MPA-CINT/ Center For Integrated Nanotechnologies
Minimum Salary
Maximum Salary
What You Will Do
The Materials Physics and Application Division -Center for Integrated Nanotechnologies (MPA-CINT) and Theoretical Division-Physics and Chemistry of Materials (T-1) at Los Alamos National Laboratory seeks a highly motivated post-doctoral candidate, in the areas of Computer Vision (CV), Artificial Intelligence (AI), and materials modeling, with an emphasis on characterizing micrographs/radiographs using computer vision and AI. Successful applicants will work in Group CINT of the Materials Physics and Application Division and collaborate with a larger group of scientists and postdocs from across organizations.
This postdoctoral position is part of a larger project that is focused on developing and utilizing computer vision models for characterizing materials micrographs/radiographs and classify defects, interfaces, and joints. To connect imaging-derived features to materials structure-property relationships. The successful applicant will be expected to integrate with the project team broadly and coordinate with experimentalists. The results are expected to be published in peer-reviewed journals and presented at prominent conferences. We provide unique opportunities for cross disciplinary collaborations, scientific workshop organization, and conference attendance. Outstanding applicants may be nominated for prestigious LANL-funded fellowships, enabling the pursuit of independent research.
What You Need
Minimum Job Requirements:
  • Demonstrated expertise in one or more of the following:
    • Advanced CV/AI for materials micrographs, including segmentation/classification of defects, interfaces, and joints (e.g., U-Net, Mask R-CNN, Vision Transformers).
    • Experience in training Artificial Intelligence models with PyTorch, TensorFlow
    • Materials modeling/atomistic simulation experience relevant to mechanics (e.g., MD/DFT, microstructure-property relationships, defect physics, or related modeling approaches).
    • Strong programming skills in Python (mainly scikit-image, OpenCV)
  • Demonstrated experience in conducting original scientific research through peer reviewed publication record.
  • Excellent communication skills (both oral and written).

Education/Experience: A STEM PhD in areas such as Materials Science, Computational Physics, Engineering, or related fields, completed within the last five years or soon to be completed.
Desired Qualifications:
  • Solid Background in materials science and engineering.
  • Experience in training AI and CV models on GPU-accelerated super computers, with large workloads, and familiarity with PyTorch Lightning, Hugging Face, LangChain etc.
  • Ability to adapt to new requirements for projects and be flexible enough to learn new areas of research as needed.
  • Ability to work effectively as a part of a team in a multi-disciplinary environment and interact with people with a variety of expertise.

Essential Job Functions (can perform with or without reasonable accommodation) :
Work Environment:
Work Location : The work location for this position is onsite and located in Los Alamos, NM. All work locations are at the discretion of management.
Note to Applicants:
Employment Status : Fulltime or part time options available
For more information on Postdoc program at LANL, please refer to https://www.lanl.gov/careers/career-options/postdoctoral-research/postdoc-program/index.php
Candidates may be considered for a Director's Fellowship and outstanding candidates may be considered for the prestigious Marie Curie, Richard P. Feynman, J. Robert Oppenheimer, or Frederick Reines Fellowships. For general program information, refer to the Postdoc Program web page https://www.lanl.gov/careers/career-options/postdoctoral-research/postdoc-program/index.php
Contact: Dr. Avanish Mishra (avanish@lanl.gov)
Dr. Saryu Fensin (saryuj@lanl.gov)
Due to federal restrictions contained in the current National Defense Authorization Act, citizens of the People's Republic of China-including the special administrative regions of Hong Kong and Macau-as well as citizens of the Islamic Republic of Iran, the Democratic People's Republic of Korea (North Korea), and the Russian Federation, who are not Lawful Permanent Residents ("green card" holders) are prohibited from accessing facilities that support the mission, functions, and operations of national security laboratories and nuclear weapons production facilities, which includes Los Alamos National Laboratory.
Where You Will Work
Located in beautiful northern New Mexico, Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in strategic science on behalf of national security. Our generous benefits package includes:
  • PPO or High Deductible medical insurance with the same large nationwide network
  • Dental and vision insurance
  • Free basic life and disability insurance
  • Paid childbirth and parental leave
  • Award-winning 401(k) (6% matching plus 3.5% annually)
  • Learning opportunities and tuition assistance
  • Flexible schedules and time off (PTO and holidays)
  • Onsite gyms and wellness programs
  • Extensive relocation packages (outside a 50 mile radius)

Additional Details
Directive 206.2 - Employment with Triad requires a favorable decision by NNSA indicating employee is suitable under NNSA Supplemental Directive 206.2 . Please note that this requirement applies only to citizens of the United States. Foreign nationals are subject to a similar requirement under DOE Order 142.3A.
No Clearance: Position does not require a security clearance. Selected candidates will be subject to drug testing and other pre-employment background checks.
426.2A: This position is subject to DOE Order 426.2A, Personnel Selection, Training, and Qualification Requirements for DOE Nuclear Facilities, which establishes entry-level requirements to ensure candidates selected for specific positions can successfully perform the requirements of the job.
New-Employment Drug Test: The Laboratory requires successful applicants to complete a new-employment drug test and maintains a substance abuse policy that includes random drug testing. Although New Mexico and other states have legalized the use of marijuana, use and possession of marijuana remain illegal under federal law. A positive drug test for marijuana will result in termination of employment, even if the use was pre-offer.
Internal Applicants: Regular appointment employees who have served the required period of continuous service in their current position are eligible to apply for posted jobs throughout the Laboratory. If an employee has not served the required period of continuous service, they may only apply for Laboratory jobs with the documented approval of their Division Leader. Please refer to Policy Policy P701 for applicant eligibility requirements.
Equal Opportunity: Los Alamos National Laboratory is an equal opportunity employer. All employment practices are based on qualification and merit, without regard to protected categories such as race, color, national origin, ancestry, religion, age, sex, gender identity, sexual orientation, marital status or spousal affiliation, physical or mental disability, medical conditions, pregnancy, status as a protected veteran, genetic information, or citizenship within the limits imposed by federal, state, and local laws and regulations. The Laboratory is also committed to making our workplace accessible to individuals with disabilities and will provide reasonable accommodations, upon request, for individuals to participate in the application and hiring process. To request such an accommodation, please send an email to applyhelp@lanl.gov or call (505)-664-6947.
Instructions on How to Activate/Create a LANL Jobs Account:
Follow the instructions below if you have ever had an employee Z number, been a contractor, or received Los Alamos Lab insurance coverage to activate your account:
  • Select the Click Here button if you have been employed with the Lab or received insurance coverage .
  • Please enter only your first and last name and current email address (an email with your validation code will be sent to you) to activate the account currently in our system.
  • Enter your validation code as described in the email you receive and complete the 3-page registration form. Your account is now active, and you can apply for jobs or save to your basket. Important : Enter the validation code within 15 days to activate your account or your account will be deactivated.

Follow the instructions below if you if you have never been employed with the Lab or received insurance coverage to create an account:
  • Select the Register button if you have never been employed with the Lab or received insurance coverage to Create an Account.
  • From here, you will establish an account with username and password.

How to Apply: Login to Your Account to Complete the Application Process
  • Click the Vacancy Name number (in blue) to view any job's details.
  • Click Apply or Add to Basket to apply later. Tip : To apply for a job or save your basket, you must have a LANL jobs account.

If you experience any technical issues, please email applyhelp@lanl.gov for assistance.
Employment Status Full Time
Appointment Type Postdoc
Postdoc

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