Postdoctoral Appointee: Physics-Informed AI for Microelectronics Materials

UChicago Argonne(4 months ago)

Lemont, IL, United StatesOnsiteFull TimeTrainee$70,758 - $117,925Center for Nanoscale Materials

About this role

A postdoctoral researcher position at the Center for Nanoscale Materials, Argonne National Laboratory, focused on advancing data-driven, physics-informed AI for microelectronics materials. The role centers on developing frameworks that link atomistic features, mesoscale dynamics, and device-level performance while integrating heterogeneous simulation and experimental data across scientific user facilities. The position supports collaborative interdisciplinary research and dissemination through publications and open-source contributions.

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Required Skills

Python
PyTorch
TensorFlow
Machine Learning
Physics-Informed Models
Data Curation
Multimodal Data
High-Performance Computing
Simulation
Model Deployment

+3 more

Qualifications

PhD in Related Field (Materials Science, Data Science, Chemistry, Chemical Engineering, Electrical Engineering, Computer Science, Physics or related) (0-5 years since completion)