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Lawrence Livermore National Security

Postdoctoral Research Staff Member in Reduced-Order Modeling, Scientific Machine Learning, and Surrogate Modeling at Lawrence Livermore National Laboratory Lawrence Livermore National Laboratory in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Postdoctoral Research Staff Member position at Lawrence Livermore National Laboratory; no stipend, salary, tuition, or other funding details are stated in the post.

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Country

United States

University

Lawrence Livermore National Security

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Keywords

Computer Science
Mechanical Engineering
Electrical Engineering
Materials Science
Mathematics
Uncertainty Analysis
Active Learning
High Performance Computing
Surrogate Modeling
Physics
Finite Element Analysi

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About this position

Lawrence Livermore National Laboratory is hiring a Postdoctoral Research Staff Member in the Center for Applied Scientific Computing (CASC).

The position sits at the intersection of reduced-order modeling, scientific machine learning, surrogate modeling, and AI-enabled scientific workflows. The research aims to build fast, trustworthy, and data-efficient computational models that connect high-fidelity simulations with physical experiments.

Topics of interest include reduced-order and surrogate modeling, finite element methods, high-performance computing, system identification and equation discovery, hybrid physics/data-driven modeling, uncertainty quantification, out-of-distribution detection, active learning, adaptive experimental design, low-dimensional parameter and latent-space discovery, and integration of computational models with AI agents and automated workflows.

Applications will focus on problems in electrochemical systems and advanced manufacturing, while developing methods and software that are broadly useful across computational science and engineering.

Applicants should have a PhD, or be on track to receive one by the time of hire, in applied mathematics, computational science, engineering, computer science, or a related field.

This is a postdoctoral opening at LLNL in the United States. The post does not mention a deadline or funding specifics beyond the postdoc appointment itself.

Apply using the provided link if your background matches the research areas and degree requirements.

Funding details

Postdoctoral Research Staff Member position at Lawrence Livermore National Laboratory; no stipend, salary, tuition, or other funding details are stated in the post.

What's required

Applicants should have a PhD, or expect to have one by the time of hire, in applied mathematics, computational science, engineering, computer science, or a related area. The post is aimed at candidates interested in reduced-order modeling, surrogate modeling, finite element methods, high-performance computing, scientific machine learning, system identification, equation discovery, hybrid physics/data-driven modeling, uncertainty quantification, out-of-distribution detection, active learning, adaptive experimental design, latent-space discovery, and AI-enabled scientific workflows.

How to apply

Apply through the linked application page. Review the postdoctoral opening details and submit your application via the provided link. Share the post if you know suitable candidates.

More information can be found here

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