SWAT-Related Job Announcements

A Postdoctoral Research Associate position is available at Texas A&M AgriLife Research in Temple, Texas. Applicants should hold a Ph.D. in Hydrology, Geology, Environmental Science/Engineering, Civil Engineering, or a related field with a strong background in surface hydrology, sediment transport, and land-use management. The selected candidate will contribute to the development and application of large-scale modeling frameworks for water resources, sediment load assessment, and land-use management, including the use of SWAT/SWAT+ models for national-scale assessments. Responsibilities include preparing and processing large datasets, analyzing sediment and turbidity data, integrating remote sensing datasets such as OpenET, and enhancing modeling frameworks through machine learning and AI approaches, particularly for ungauged watersheds. The role also involves developing Python/R scripts to improve computational efficiency, automation, and reliability, collaborating with multidisciplinary teams including USDA Forest Service scientists and AgriLife researchers, and supporting the development of decision-support tools and scientific outputs.