Postdoctoral Appointee - Experimental AI
UChicago Argonne(2 months ago)
About this role
A postdoctoral research position focused on developing and applying AI and automation tools to study interfacial processes in materials for electrochemistry. The role emphasizes computational model development for limited-data structure–function discovery and building automated electrode–electrolyte discovery workflows. The position also involves hands-on experimental work to adapt laboratory workflows for autonomous control and execution of experimental campaigns.
Required Skills
- Computational Materials
- Electrochemistry
- Code Development
- AI Modeling
- Machine Learning
- Bayesian Optimization
- Genetic Algorithms
- Potentiostat Use
- Spectroscopy
- Mass Spectrometry
+3 more
Qualifications
- Ph.D. in Chemistry, Chemical Engineering, Materials Science or Related Field
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