Uncertainty Quantification for Surrogate Models Postdoctoral Researcher

Join Lawrence Livermore National Laboratory (LLNL) and contribute to advancing science and technology to strengthen U.S. security and promote global stability.

Requirements

• Ph.D. in Statistics, Applied Mathematics, or a related field
• Experience with deep Gaussian processes
• Knowledge of ongoing work in scalable Gaussian processes
• Experience with functional data
• Knowledge of AI surrogates (e.g., neural networks) and associated UQ methods
• Experience using programming skills in at least one prototyping language R/Matlab/Python
• Knowledge of an ML library (TensorFlow, PyTorch, or JAX)
• Experience developing independent research projects as demonstrated through publication of peer-reviewed literature
• Proficient verbal and written communication skills to collaborate effectively in a team environment and present and explain technical information
• Effective initiative and interpersonal skills and ability to work in a collaborative, multidisciplinary team environment

Benefits

• Flexible Benefits Package
• 401(k)
• Relocation Assistance
• Education Reimbursement Program
• Flexible schedules (*depending on project needs)