Postdoc: AI/ML for Solid Mechanics Modeling (Onsite)

Sandia National Laboratories; New Mexico; Sur place; USD 70 000 - 90 000; Plein temps

Résumé du poste

Sandia National Laboratories in New Mexico seeks a Postdoctoral Appointee to advance AI/ML methods for solid mechanics. The role focuses on computational mechanics, scientific ML, and material modeling pipelines, with onsite work required.

The successful candidate will develop physics-informed ML architectures, publish findings, and collaborate across the Materials and Failure Modeling Department. PhD within five years and DOE Q clearance eligibility are required.

Qualifications

• PhD in Mechanical Engineering, Applied Mechanics, Aerospace Engineering, Civil Engineering, or related field.
• Background in solid mechanics: strength of materials, continuum mechanics, and/or mechanics of materials.
• Experience with C, C++, Julia, MATLAB, Python, and/or Rust.
• Experience in scientific ML with architectures like physics-informed neural networks, graph neural networks, or operator learning.
• Publication record in peer-reviewed journals and external presentations.
• Ability to obtain and maintain a DOE Q clearance.

Responsabilités

• Contribute to computational solid mechanics research, development, and analysis in scientific ML.
• Apply solid mechanics and advanced mathematics to support research and tool development leveraging computational mechanics and ML.
• Utilize optimization methods, including genetic algorithms, to discover new material laws.
• Use state-of-the-art FE codes and computational resources to design and qualify engineering materials and systems.
• Build and test material modeling pipelines via pretrained large language models.
• Develop a robust research portfolio through peer-reviewed publications and conferences.
• Submit complete CVs during the application process.

Connaissances

Scientific ML

Physics-informed neural networks

Graph neural networks

Operator learning

Publications

DOE Q clearance

Formation

PhD in Mechanical Engineering or related field

Outils

C

C++

Julia

MATLAB

Python

Rust

Description du poste

Sandia National Laboratories in New Mexico seeks a Postdoctoral Appointee to advance AI/ML methods for solid mechanics. The role focuses on computational mechanics, scientific ML, and material modeling pipelines, with onsite work required.

The successful candidate will develop physics-informed ML architectures, publish findings, and collaborate across the Materials and Failure Modeling Department. PhD within five years and DOE Q clearance eligibility are required.