Postdoc: Hybrid Computational Materials Modeling

Battelle Energy Alliance; Idaho Falls (ID); On-site; USD 95,000 - 116,000; Full time

Benefits offered by this job

Medical, dental, vision coverage

401(k) with employer contribution

Comprehensive relocation package

Paid time off

Tuition assistance

Job summary

Idaho National Laboratory seeks a Postdoctoral Research Associate in physics, mechanical engineering, aerospace engineering, materials science, applied mathematics, or related fields at its Idaho Falls facility on a 9x80 schedule with every other Friday off.

The role blends experimental and computational work to evaluate material performance, from microstructure measurements to full-scale system predictions, collaborating across teams and publishing research results.

Qualifications

• PhD in physics, mechanical engineering, aerospace engineering, materials science or applied mathematics.
• PhD requirements completed by appointment and within the previous five years.
• Ability to obtain a DOE L clearance (US citizenship).
• Strong written and oral English communication skills.
• Familiarity with data analysis languages and tools such as C++, Python, Matlab, R, Octave or similar.
• Willingness to learn by doing.

Responsibilities

• Develop hybrid experimental/computational framework for material performance evaluation.
• Work with teams providing data, running experiments and physics-based ML models.
• Write reports and scientific manuscripts for publication; present results at conferences.

Skills

C++

Python

Matlab

R

Octave

Education

PhD in Physics

PhD in Mechanical Engineering

PhD in Aerospace Engineering

PhD in Materials Science

PhD in Applied Mathematics

Tools

AbstrO

LS-DYNA

Abaqus Explicit

Ansys Explicit

Peridigm

CTH

ALEGRA

ALE3D

EPIC

Sierra

Job description

Idaho National Laboratory seeks a Postdoctoral Research Associate in physics, mechanical engineering, aerospace engineering, materials science, applied mathematics, or related fields at its Idaho Falls facility on a 9x80 schedule with every other Friday off.

The role blends experimental and computational work to evaluate material performance, from microstructure measurements to full-scale system predictions, collaborating across teams and publishing research results.