Postdoctoral Appointee: Physics-Informed AI for Microelectronics Materials
Argonne National LaboratoryJob Description
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 Requir...
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