The successful candidate will conduct advanced research in hydrologic modeling, flood forecasting, extreme weather prediction, snow observation, snow modeling, soil moisture data analytics, and global reservoir/lake system analysis, modeling using remotely sensed information, and AI/ML models in support of water resources decision-making. PhD in civil/environmental engineering, hydrology, hydraulics, water resources engineering, GIS, remote sensing, atmospheric sciences, climate science, computer science, data science, geography, or a related field (completed by start date or within four months).