Postdoctoral Appointee - X-ray Scattering Studies Of Catalytic Materials For Ai-enabled Discovery

Argonne National Laboratory

Lemont, Illinois, United States
Base: $72,879.00-$121,465.00; bonus/equity: not sp...
Ph.d. in physics, chemistry, or computer science
Experience with x-ray diffraction and total scattering
Strong scientific programming skills in python
This position is part of the DOE-BES initiative ISAAC, integrating experimental measurements, simulations, and data science to enable physics-informed AI agents

Job Summary

  • This position is part of the DOE-BES initiative ISAAC, integrating experimental measurements, simulations, and data science to enable physics-informed AI agents.
  • The successful candidate will develop machine learning approaches to analyze synchrotron X-ray scattering data and extract physically meaningful descriptors.
  • Comprehensive benefits are included as part of the total rewards package alongside a competitive salary range.

Matching Summary

This position is part of the DOE-BES initiative ISAAC, integrating experimental measurements, simulations, and data science to enable physics-informed AI agents.

Salary

Base: $72,879.00-$121,465.00; Bonus/Equity: Not specified; Benefits: Comprehensive benefits included

Skills & Requirements

Must-have

  • Ph.D. in physics, chemistry, or computer science
  • Experience with X-ray diffraction and total scattering
  • Strong scientific programming skills in Python
  • Machine learning application to physical sciences datasets

Nice-to-have

  • Familiarity with pair distribution function methods
  • Experience with automated high-throughput data pipelines
  • Interest in autonomous experimentation frameworks
  • Multimodal data integration experience

Key Requirements

  • Ph.D. completed within past 5 years
  • Government access authorization required
  • Background check including criminal history

Work Rights

Government access authorization required

Tailored Resume

Cover Letter