Sandia Biotech, Inc
1 week ago
Postdoctoral Appointee in Credible Scientific Machine Learning and Data-Driven Analysis Sandia National Laboratories in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Postdoctoral appointee position at Sandia National Laboratories; temporary appointment for up to one year, renewable at Sandia's discretion for up to five additional years. No stipend or salary amount is stated. Benefits include medical/dental/vision insurance, paid time off, 401k, and relocation assistance for some positions.
Country
United States
University
Sandia Biotech, Inc
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About this position
Postdoctoral Appointee: Credible Scientific Machine Learning & Data Driven Analysis at Sandia National Laboratories in Livermore, California, United States.
This postdoctoral opening is for a researcher interested in scientific machine learning (SciML), machine learning, uncertainty quantification, statistical learning, and data-driven analysis for computational science applications. The role sits within Sandia’s Quantitative Modeling and Analysis Department, where the team works on verification, validation, uncertainty quantification, optimization, inference modeling, data analysis, and algorithm development for complex national security and predictive modeling problems.
Research tasks may include developing and evaluating ML-based surrogates and reduced-order models, embedding data-driven components into physics-based simulations, and designing studies for verification, validation, uncertainty quantification, robustness, explainability, and interpretability. The post also mentions feature extraction and pattern recognition methods such as wavelet analysis, tensor/matrix decompositions, energy-based features, anomaly detection, supervised learning, unsupervised learning, classification, clustering, and analysis of images, microstructures, sensor data, and high-dimensional simulation outputs.
Eligibility highlights: a PhD conferred within the last five years in applied mathematics, computational science, engineering, statistics, computer science, or a related field; expertise in ML, SciML, UQ, or statistical learning; experience with simulation, image, signal, or high-dimensional data; and the ability to obtain and maintain a DOE Q-level security clearance, which requires U.S. citizenship. The position is onsite in Livermore, CA.
Funding and appointment: this is a temporary postdoctoral appointment for up to one year, with possible renewal at Sandia’s discretion for up to five additional years. The posting does not list a salary amount. Sandia highlights benefits such as medical/dental/vision insurance, paid time off, 401k, wellness programs, on-site amenities, telecommuting arrangements for some roles, and relocation assistance for some positions.
How to apply: submit an application through the Sandia job portal using the Apply Now link. The posting states it will remain open for at least three calendar days and may be extended. Applicants are also advised to review Sandia’s resume writing best practices before applying.
Funding details
Postdoctoral appointee position at Sandia National Laboratories; temporary appointment for up to one year, renewable at Sandia's discretion for up to five additional years. No stipend or salary amount is stated. Benefits include medical/dental/vision insurance, paid time off, 401k, and relocation assistance for some positions.
What's required
PhD conferred within the last 5 years in applied mathematics, computational science, engineering, statistics, computer science, or a related field. Applicants should have expertise in machine learning, scientific machine learning, uncertainty quantification, or statistical learning, plus experience developing or evaluating ML methods for simulation, image, signal, or high-dimensional data. Must be able to obtain and maintain a DOE Q-level security clearance, which requires U.S. citizenship.
How to apply
Apply through the Sandia job portal using the Apply Now link. Review Sandia's resume writing best practices before submitting your application. The posting is open for at least three calendar days and may be extended.
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