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.

The Institut de Recherche pour le Développement (IRD) in France is seeking a full-time Postdoctoral Researcher (R2) in Geosciences to join the Géosciences Environment Toulouse (GET) laboratory. The selected candidate will contribute to the DinBuam project, focusing on sustainable management of headwater wetlands and upland catchments in the humid tropics, particularly in Lao PDR. The position involves hydrological modeling using SWAT, developing hydro-social scenarios, and conducting participatory research with local stakeholders to promote sustainable land and water management practices. The researcher will work within an interdisciplinary team in Toulouse and collaborate with partners in Laos, including government agencies, NGOs, and local communities. This role requires expertise in environmental sciences, water resources, and quantitative and qualitative analysis, strong English writing skills, and willingness to conduct field missions in rural Laos for approximately one month per year.

The Collaborative Watershed Modeling Group at Lanzhou University, China, and the University of Guelph, Canada, is seeking a Postdoctoral Fellow to support international research projects in watershed modeling under the supervision of Dr. Junzhi Liu and Dr. Wanhong Yang. The successful candidate will contribute to advanced environmental and resource management studies using tools such as SWAT or similar hydrologic models, and may also work with biophysical models like DNDC or DayCent. Applicants should have strong training in hydrology, geography, soil science, or related fields, practical experience in watershed-scale simulations of runoff, sediment, and nutrients, and familiarity with GIS software such as ArcGIS Pro; skills in programming, relational databases (e.g., PostgreSQL), and AI or deep learning are considered assets. This two-year postdoctoral position is based at Lanzhou University, China, and requires submission of a CV, a two-page research statement, and contact information for three referees to Dr. Junzhi Liu.