Postdoctoral Appointee - Scientific Machine Learning (SciML) for Physical & Materials Sciences, Onsite
Sandia National Laboratories
United States of America
Summary
Postdoctoral position in AI-driven materials science focusing on Scientific Machine Learning for aging and reliability. Develop PINNs, DeepONets, FNOs, AI data pipelines, surrogate models with uncertainty quantification. Proficiency in PyTorch, HPC, FAIR data. On-site; PhD within 5 years.
