Uncertainty Quantification for Surrogate Models Postdoctoral Researcher

LLNL

4 days ago

Livermore, CA

Hybrid

Full Time

Senior

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About this role

A Postdoctoral Researcher at Lawrence Livermore National Laboratory will conduct advanced research in Gaussian processes and uncertainty quantification methods for AI surrogate models. The role involves developing software tools, collaborating with multidisciplinary teams, and publishing scientific research.

Skills

Qualifications

PhD in StatisticsPhD in Applied MathematicsExperience with Deep Gaussian ProcessesExperience with Scalable Gaussian Processes

About LLNL

llnl.gov

Lawrence Livermore National Laboratory (LLNL) is a U.S. Department of Energy national laboratory in Livermore, California, that applies advanced science, engineering, and technology to solve complex national security and societal challenges. Its work spans nuclear deterrence and stockpile stewardship, nonproliferation and homeland security, high-performance computing and AI, fusion energy (including the National Ignition Facility), and research in materials, biosciences, and climate. LLNL partners with government agencies, industry, and academia to translate research into practical solutions, drive technology commercialization, and develop the next generation of scientists and engineers.