This postdoctoral position focuses on advancing machine learning (ML) methods and tools for environmental data science. The successful candidate will collaborate with faculty and community partners to develop application-driven ML systems, create benchmark datasets, and promote open, reproducible science. The role includes publishing research, contributing to diversity and inclusion initiatives, and interacting with a vibrant, interdisciplinary research community. This opportunity combines core ML/AI research with environmental applications and offers a dynamic research environment.
