Machine Learning and Computer Vision Postdoctoral Researcher
Machine Learning and Computer Vision Postdoctoral Researcher
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Job Description
We have an opening for a highly qualified and motivated Machine Learning and Computer Vision Postdoctoral Researcher to join us in developing advanced algorithms and techniques to identify and track defects in the National Ignition Facility (NIF) laser optics. Opportunities for specific areas that could be presented in research papers include but are not limited to novel optical metrology analysis algorithms automated decision making and mixedinteger programming. You will work with a multidisciplinary team of scientists and engineers to create innovative solutions that improve the performance and longevity of our optics systems. This position is in the Computational Engineering Division (CED) within the Engineering Directorate.
This position offers a hybrid schedule blending inperson and virtual presence. You will have the flexibility to work from home one or more days per week.
You will
- Research design and develop machine learning and computer vision algorithms to identify and track defects in NIF laser optics.
- Create novel techniques for analyzing damage to optics caused by highpowered laser systems.
- Develop frameworks for automating defect detection classification and tracking across a wide variety of optical materials and geometries.
- Apply advanced computational tools and techniques to optimize defect identification and prediction processes.
- Conduct uncertainty analyses to evaluate the reliability and accuracy of defect detection systems.
- Collaborate effectively with engineers and scientists to integrate machine learning systems into existing workflows and optical systems.
- Perform life cycle assessments to evaluate the impact of defect detection and tracking on system performance and longevity.
- Pursue independent research that complements team objectives and contributes to the advancement of machine learning and computer vision technologies and interact with a broad spectrum of scientists internal and external to the Laboratory.
- Publish research findings in peerreviewed scientific journals and present results at conferences seminars and meetings.
- Travel as needed to coordinate with research collaborators and visit field sites.
- Perform other duties as assigned.
Qualifications :
- Must be eligible to access the Laboratory in compliance with Section 3112 of the National Defense Authorization Act (NDAA). See Additional Information section below for details.
- PhD in computer science engineering or a related field (e.g. electrical engineering applied physics or mathematics) with a focus on machine learning computer vision or equivalent combination of education and relevant experience.
- Knowledge and experience in one or more key areas: machine learning computer vision algorithm development data analysis and computational modeling.
- Ability to perform independent research and contribute to the development of innovative solutions.
- Demonstrated ability to undertake original research and communicate findings in peerreviewed publications.
- Experience working with multidisciplinary teams of scientists engineers and project managers to develop and apply advanced computational capabilities.
- Proficient verbal and written communication skills to collaborate effectively in a team environment and present and explain technical information.
- Ability to travel.
Qualifications We Desire
- Handson experience with optical systems or laser technologies.
- Experience with largescale data processing and analysis particularly in imaging or defect detection.
- Knowledge of deep learning frameworks (e.g. TensorFlow PyTorch) and computer vision libraries (e.g. OpenCV).
- Familiarity with uncertainty quantification and predictive modeling techniques.
- Experience in technology commercialization or transitioning research into practical applications.
- Knowledge of optics damage mechanisms materials science or related fields.
Additional Information :
#LIHybrid
Position Information
This is a Postdoctoral appointment with the possibility of extension to a maximum of three years open to those who have been awarded a PhD at time of hire date.
Why Lawrence Livermore National Laboratory
- Included in 2025 Best Places to Work by Glassdoor!
- Flexible Benefits Package
- 401(k)
- Relocation Assistance
- Education Reimbursement Program
- Flexible schedules (*depending on project needs)
- Our values visit Clearance
None required. However if your assignment is longer than 179 days cumulatively within a calendar year you must go through the Personal Identity Verification process. This process includes completing an online background investigation form and receiving approval of the background check. (This process does not apply to foreign nationals.)
National Defense Authorization Act (NDAA)
The 2025 National Defense Authorization Act (NDAA) Section 3112 generally prohibits citizens of China Russia Iran and North Korea without dual US citizenship or legal permanent residence from accessing specific nonpublic areas of national security or nuclear weapons facilities. The restrictions of NDAA Section 3112 apply to this position. To be qualified for this position Candidates must be eligible to access the Laboratory in compliance with Section 3112.
PreEmployment Drug Test
External applicant(s) selected for this position must pass a postoffer preemployment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor.
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Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time