Postdoctoral Research Associate for AI and Computer Vision

What You Will Do

The Computing and Artificial Intelligence (CAI) Division at Los Alamos National Laboratory (LANL) is seeking a highly motivated postdoctoral researcher to develop innovative artificial intelligence and computer vision methods for national security applications. You will develop methods for analyzing image data from sources such as scanning electron microscopy, optical microscopy, overhead imagery, and video, as well as multimodal and data-fusion approaches that integrate imagery, spectra, experimental measurements, natural language, and other heterogeneous data.

Your primary research will apply these methods to nuclear forensics, with opportunities to contribute to other research challenges across LANL's national security mission.

You will work as part of a collaborative, cross-disciplinary research team spanning computer vision, machine learning, statistics, materials science, and other scientific domains. The position offers opportunities to develop new methods, work with challenging real-world scientific data, collaborate with experts across disciplines, and communicate research results through technical reports, presentations, and peer-reviewed publications.

• Experience with algorithm development for artificial intelligence and computer vision
• Proficiency in Python, PyTorch, or Tensor Flow
• Experience scaling models in cloud or HPC environments
• Excellent written and oral communication skills

• Expertise in computer vision for scanning electron microscopy and optical microscopy
• Experience developing predictive and multimodal ML models
• Experience developing solutions for uncertainty quantification and/or out-of-distribution samples in limited, noisy, spare and/or high-dimensional data
• Past research collaborations with experimentalists
• Experience in multi-disciplinary research projects

Education: Ph.D. in related field completed within the last 5 years or soon to be completed.

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: 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.

Salary: Competitive salaries are based on the date the PhD degree requirements were completed or the degree was awarded. Additional information on salary ranges and other benefits can be found online at (Use the "Apply for this Job" box below)..

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 information to go to Postdoc Program.

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…