SWAT-Related Job Announcements

Texas A&M AgriLife Research in Temple, TX is seeking a Research Associate or Senior Research Associate to support agro-ecosystem and watershed studies and modeling using SWAT, SWAT+, and HAWQS. The position involves collaborating with interdisciplinary teams, assisting with research tasks, developing Python/R scripts to improve model efficiency, and contributing to data analysis and decision-support systems, with senior-level candidates additionally leading workshops and managing client communication and project deliverables. Ideal candidates hold a Master’s or Bachelor’s degree in Ecology, Agronomy, Geology, Environmental Science/Engineering, Civil Engineering, or related fields with relevant experience in SWAT/SWAT+/HAWQS modeling or agro-ecosystem assessment, and possess skills in programming or scripting (Python, R, Fortran), GIS/remote sensing, quantitative data analysis, teamwork, communication, and project management.

The SWAT+ Modeling Group at Texas A&M AgriLife Research is seeking a highly skilled and motivated Postdoctoral Research Scientist to join a collaborative, high-impact USDA-funded intercomparison project led by Columbia University. The successful candidate will work closely with Dr. Natalja Cerkasova and a multidisciplinary consortium to advance the science of biogeochemical process modeling, focusing on carbon and nitrogen cycling, including soil organic carbon and N₂O fluxes in U.S. agricultural systems. This two-year, grant-funded position requires deep expertise in the Soil and Water Assessment Tool (SWAT/SWAT+), strong programming skills in R, Python, or Fortran, and proficiency in model calibration, validation, and scaling assessments. The researcher will conduct multi-scale SWAT+ modeling, contribute to data sharing and intercomparison protocols, document methodologies, and co-author high-impact peer-reviewed publications. Ideal candidates will hold a Ph.D. in Agricultural Engineering, Hydrology, Environmental Science, Soil Science, Computer Science, or a related field, possess excellent communication and problem-solving skills, and demonstrate professionalism and collaboration in an interdisciplinary research environment. Knowledge of biogeochemical modeling and willingness to travel occasionally for workshops or stakeholder engagements are preferred.