Postdoctoral Appointee - Computational Chemistry
UChicago Argonne(2 months ago)
About this role
A Postdoctoral Appointee position at Argonne National Laboratory to conduct research in AI-driven materials discovery, focusing on redox molecule optimization and materials for energy storage and conversion. The role combines advanced computational chemistry, data science, and AI/ML model development applied to predictive simulations and database-supported materials design. The appointment is part of collaborative efforts between Materials Science and Data Science divisions within Argonne.
Required Skills
- AI
- Machine Learning
- Computational Chemistry
- Molecular Dynamics
- DFT
- Monte Carlo
- High Performance Computing
- Workflow Automation
- Database Management
- Predictive Modeling
+1 more
Qualifications
- PhD in Materials Science, Computational Materials Science, Chemical Engineering or Related Field (0-5 years since completion)
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