Postdoc: AI-Driven Multiscale Materials for AM

Oak Ridge National Laboratory; Oak Ridge (TN); On-site; USD 70,000 - 90,000; Full time

Benefits offered by this job

Medical benefits

Retirement plans

Flexible work hours

On-site fitness

Job summary

Oak Ridge National Laboratory seeks a Postdoctoral Research Associate to develop multiphysics simulations and ML methods for advanced manufacturing, material characterization, and topology optimization. The MsM group focuses on multiscale models, AI accelerators, and scalable analytics for energy and transportation applications.

You will collaborate with computational scientists, engineers, and experimentalists, delivering quantitative insights, writing papers, and presenting results in

Qualifications

• PhD within past 5 years in a relevant engineering field with computational modeling/simulations.
• Expertise in multi-physics simulations and ML tools for material qualification and distortion/fatigue quantification.
• Strong written and oral communication skills.

Responsibilities

• Collaborate in a multi-disciplinary research environment across computational scientists, experimentalists, engineers/physicists.
• Develop multi-physics simulations with ML methods for modeling and optimization of metallic materials and AM processes.
• Design integrated, scalable numerical methods and uncertainty quantification.
• Follow planning, verification/validation, and simulation quality processes.
• Publish peer-reviewed papers, reports, and proposals and present findings publicly.

Skills

multi-physics simulations

machine learning

digital twin

surrogate models

reduced-order models

uncertainty quantification

communication skills

Education

PhD in mechanical engineering, material science, welding engineering or related field

Tools

FEM

HPC

Job description

Oak Ridge National Laboratory seeks a Postdoctoral Research Associate to develop multiphysics simulations and ML methods for advanced manufacturing, material characterization, and topology optimization. The MsM group focuses on multiscale models, AI accelerators, and scalable analytics for energy and transportation applications.

You will collaborate with computational scientists, engineers, and experimentalists, delivering quantitative insights, writing papers, and presenting results in