Postdoctoral Appointee - Synchrotron Studies of Crystal Defects for AI Modeling
UChicago Argonne(3 months ago)
About this role
Two Postdoctoral Appointees in the Surface Scattering and Microdiffraction group at Argonne National Laboratory will lead multimodal synchrotron characterization of defects and interfaces in oxides and 2D materials. These positions contribute to a cross-facility initiative to build a physics-informed AI framework linking composition, structure, operating conditions, and defect evolution to functional performance. The roles emphasize generating quantitative, AI-ready datasets and integrating multimodal X-ray, microscopy, and spectroscopy data for interoperable analysis.
Required Skills
- BCDI
- XPCS
- Ptychography
- Laue Microdiffraction
- Synchrotron Experiments
- Experimental Design
- Data Analysis
- Scientific Programming
- Python
- MATLAB
+4 more
Qualifications
- Ph.D. in Physics, Materials Science, Chemistry, or Engineering
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