Postdoc: Synchrotron Defect Dynamics for AI Modeling
Argonne National Laboratory
United States
On-site
USD 70,758 - 117,925
Full time
14 days+
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Benefits offered by this job
Comprehensive benefits package
Job summary
A leading research facility is seeking Two Postdoctoral Appointees focused on multimodal synchrotron characterization of defects in oxides and 2D materials. The role involves leading advanced experiments using synchrotron X-ray techniques to generate AI-ready datasets. Candidates should have a Ph.D. in relevant disciplines and expertise in synchrotron methods, scientific programming, and excellent communication skills. This unique opportunity bridges defect dynamics and functionality in emerging materials, offering a comprehensive benefits package.
Qualifications
Ph.D. completed in the past five years or soon-to-be completed.
Demonstrated expertise in synchrotron X-ray methods.
Proficiency in scientific programming and quantitative data analysis.
Responsibilities
Design and perform advanced synchrotron experiments.
Utilize techniques like BCDI and ptychographic laminography.
Integrate multimodal datasets with AI/ML teams.
Skills
Expertise in synchrotron X-ray methods (BCDI, XPCS)
Scientific programming (Python, MATLAB)
Excellent communication skills
Ability to work in a collaborative team
Education
Ph.D. in physics, materials science, chemistry, engineering
Tools
X-ray photon correlation spectroscopy
Bragg coherent diffraction imaging
Job description
A leading research facility is seeking Two Postdoctoral Appointees focused on multimodal synchrotron characterization of defects in oxides and 2D materials. The role involves leading advanced experiments using synchrotron X-ray techniques to generate AI-ready datasets. Candidates should have a Ph.D. in relevant disciplines and expertise in synchrotron methods, scientific programming, and excellent communication skills. This unique opportunity bridges defect dynamics and functionality in emerging materials, offering a comprehensive benefits package.