Postdoctoral Appointee - NST AI for Material Discovery
Core
Develop AI/ML-driven workflows to identify promising electronic, ionic, and advanced energy materials by integrating laboratory automation, robotic systems, and computational modeling.
Role type
Postdoctoral researcher (AI for materials discovery)
Builds
Predictive models for material composition, processing, structure, and performance
Domain
Materials science, chemistry, data science, laboratory automation
Deliverable
production ML models
Required skills
Python programming, AI/ML methods (predictive modeling, active learning, optimization), laboratory automation operation, system integration, instrument control, scientific computing
Preferred skills
Experience with interdisciplinary research environments
Technologies
Python, machine-learning libraries, robotic systems
Responsibilities
Operate and troubleshoot laboratory automation or robotic systems; develop and apply AI/ML methods for material discovery; establish relationships among material composition, processing, structure, and performance; work across experimental, robotic, and computational systems
Seniority
Postdoctoral (recent PhD, 0-5 years experience)