Hybrid Computational Materials Postdoc: Microstructure to Fatigue

Search Jobs - INL Professional Careers; Idaho Falls (ID); On-site; USD 95,000 - 116,000; Full time

Job summary

Idaho National Laboratory invites applications for a Postdoctoral Research Associate in Physics or Engineering disciplines to develop a hybrid experimental/computational framework at our Idaho Falls site. The role spans from microstructure measurements to full-system performance predictions and requires work with data, experiments, and physics-based machine-learning models.

You will write reports and manuscripts for publication and may present results at national conferences.

Qualifications

• :

Responsibilities

• Develop a hybrid experimental/computational framework to evaluate material performance in engineered systems.
• Span microstructure measurements to performance predictions in full-scale systems.
• Implement high-fidelity models and create surrogates, with uncertainty quantification.
• Produce reports and manuscripts; present results at national conferences.
• Collaborate with data/experiment/physics‑based ML teams.

Skills

C++

Python

Matlab

R

Octave

Willingness to learn

Education

PhD in Physics

PhD in Mechanical/Aerospace Engineering

PhD in Materials Science

PhD in Applied Mathematics

Tools

LS‑DYNA

Abaqus Explicit

Ansys Explicit

Peridigm

Cubit

GMSH

Hypermesh

SLURM

PBS

Linux HPC

Job description

Idaho National Laboratory invites applications for a Postdoctoral Research Associate in Physics or Engineering disciplines to develop a hybrid experimental/computational framework at our Idaho Falls site. The role spans from microstructure measurements to full-system performance predictions and requires work with data, experiments, and physics-based machine-learning models.

You will write reports and manuscripts for publication and may present results at national conferences.