Machine Learning and Computer Vision Postdoctoral Researcher

Company Description

Join us and make YOUR mark on the World!

Are you interested in joining some of the brightest talent in the world to strengthen the United States’ security? Come join Lawrence Livermore National Laboratory (LLNL) where our employees apply their expertise to create solutions for BIG ideas that make our world a better place.

We are dedicated to fostering a culture that values individuals, talents, partnerships, ideas, experiences, and different perspectives, recognizing their importance to the continued success of the Laboratory’s mission.

Pay Range

$117,900 - $135,060 Annually

This is the lowest to highest salary in good faith we would pay for this role at the time of this posting. Pay will not be below any applicable local minimum wage.  An employee’s position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, and business or organizational needs.

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 mixed-integer 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 in-person 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 high-powered 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 peer-reviewed 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 peer-reviewed 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

• Hands-on experience with optical systems or laser technologies.
• Experience with large-scale data processing and analysis, particularly in imaging or defect detection.
• Knowledge of deep learning framework