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Postdoctoral Appointee: Physics-Informed AI for Microelectronics Materials
Argonne National Laboratory • Lemont, United States
About the Role
The Center for Nanoscale Materials (CNM) at Argonne National Laboratory seeks an outstanding postdoctoral researcher to advance data-driven, physics-informed AI for microelectronics materials. Working within an interdisciplinary team, you will develop frameworks that connect atomistic features, mesoscale dynamics, and device-level performance. The effort will integrate heterogeneous data from simulations and experiments across scientific user facilities, leveraging data to understand complex material phenomena across scales.
Key Responsibilities
+ Design, implement, and validate physics-informed AI/ML models for microelectronics materials
+ Curate, manage, and integrate heterogeneous datasets from experiments and simulations
+ Collaborate closely with experimental teams to benchmark and refine computational models
+ Disseminate research through publications, presentations, and open-source contribution
**Position Requirements**
+ Recent or so...
Key Responsibilities
+ Design, implement, and validate physics-informed AI/ML models for microelectronics materials
+ Curate, manage, and integrate heterogeneous datasets from experiments and simulations
+ Collaborate closely with experimental teams to benchmark and refine computational models
+ Disseminate research through publications, presentations, and open-source contribution
**Position Requirements**
+ Recent or so...
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