Machine Learning for Earth Science Postdoctoral Research Associate
Los Alamos National Laboratory
United States of America
Summary
Advance AI-enabled methods for Arctic and high-latitude Earth system science by developing ML-driven data-model fusion, surrogate models, probabilistic prediction, and uncertainty quantification with robust scientific software for multi-scale environmental forecasting and risk assessment.
