Physics World · 1 month ago
Uncertainty Quantification for Surrogate Models Postdoctoral Researcher
Livermore, CA
Full-time
Hybrid
Senior Level
$138K/yr - $138K/yrLawrence Livermore National Laboratory (LLNL) is dedicated to strengthening the United States' security through innovative solutions. The Postdoctoral Researcher will perform research and development on uncertainty quantification methods for surrogate models, collaborating with a multidisciplinary team to achieve research goals and publish findings in peer-reviewed journals.
Publishing
No H1B
U.S. Citizen Only
Responsibilities
Conduct basic research in efficient Gaussian processes to understand conditions under which their resulting uncertainties agree with other UQ metrics for AI surrogate models
Collaborate with others in a multidisciplinary team environment to accomplish research goals including industrial and academic partners
Develop, implement, validate, and document specialized analysis software tools and models as required
Organize, analyze and publish research results in peer-reviewed scientific or technical journals and present results at external conferences seminars and/or technical meetings
Pursue independent (but complementary) research interests and interact with a broad spectrum of scientists internally and externally to the Laboratory
Perform other duties as assigned
Qualification
Required
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
Preferred
Familiarity with active learning/sequential design
Experience with splines and associated UQ methods
Experience with high-performance computing systems (i.e., parallel programming libraries such as MPI)
Eligibility for a Department of Energy (DOE) Q-level clearance
Benefits
Flexible Benefits Package
401(k)
Relocation Assistance
Education Reimbursement Program
Flexible schedules (•depending on project needs)
Company
Physics World
Physics World is print and digital science magazine that features the latest interviews, information, and news from the physics world.
Founded in 1988
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase