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...