Postdoctoral Appointee - NST AI for Material Discovery
Argonne National Laboratory•Lemont, IL
•$72,879 - $121,465
About The Position
The researcher will work at the intersection of materials science, chemistry, data science, and laboratory automation to identify promising materials, guide experiments, and establish relationships among material composition, processing, structure, and performance. The research will aim for electronic, ionic and advanced energy material system.
Requirements
- Recent or soon-to-be-completed PhD (within the last 0-5 years) in field of materials science, chemistry, chemical engineering, computer science, or a related field
- Experience operating and troubleshooting laboratory automation or robotic systems
- Knowledge of system integration, instrument control, workflow automation, and data acquisition
- Experience developing and applying AI/ML methods, including predictive modeling, active learning, or optimization
- Strong programming skills in Python and experience with scientific computing and machine-learning libraries
- Ability to work across experimental, robotic, and computational systems in an interdisciplinary research environment
- Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork
Responsibilities
- Identify promising materials
- Guide experiments
- Establish relationships among material composition, processing, structure, and performance
Benefits
- Comprehensive benefits are part of the total rewards package.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
Ph.D. or professional degree
