Postdoc: Scientific ML for Physics-Based Simulations

Sandia National Laboratories; Livermore (CA); On-site; USD 70,000 - 95,000; Full time

Job summary

Sandia National Laboratories in Livermore, CA seeks a Postdoctoral Appointee to advance trustworthy scientific machine learning and data-driven analysis for computational science applications. On any day you may develop ML-based surrogates, verify models, and apply advanced feature extraction to high-dimensional data.

You will collaborate with PIs and national labs, joining a multidisciplinary team focused on uncertainty quantification, verification, and validation for predictive modeling and

Qualifications

• PhD conferred within five years in applied mathematics, computational science, engineering, statistics, computer science, or related field.
• Expertise in machine learning, scientific ML, uncertainty quantification, or statistical learning.
• Experience developing or evaluating ML methods for simulation, image, signal, or high-dimensional data.
• Ability to obtain and maintain a DOE Q-level security clearance.

Responsibilities

• Develop and evaluate ML-based surrogates, reduced-order models, and embedded data-driven components within physics-based simulations.
• Design and execute verification, validation, uncertainty quantification, robustness testing, explainability, and interpretability studies.
• Apply feature-extraction and pattern-recognition methods: wavelet analysis, tensor/matrix decompositions, energy-based features, anomaly detection, and supervised/unsupervised learning to diverse data.
• Collaborate with Sandia PIs, national laboratories, and academic partners to compare data-driven methods against high-fidelity models and experiments.

Skills

Machine learning

Scientific ML

Uncertainty quantification

Statistical learning

Python

ML libraries

PyTorch

JAX

TensorFlow

scikit-learn

NumPy

SciPy

pandas

OpenCV

Education

PhD in related field

Tools

Python

PyTorch

JAX

TensorFlow

scikit-learn

NumPy

SciPy

pandas

PyWavelets

OpenCV

Job description

Sandia National Laboratories in Livermore, CA seeks a Postdoctoral Appointee to advance trustworthy scientific machine learning and data-driven analysis for computational science applications. On any day you may develop ML-based surrogates, verify models, and apply advanced feature extraction to high-dimensional data.

You will collaborate with PIs and national labs, joining a multidisciplinary team focused on uncertainty quantification, verification, and validation for predictive modeling and