SWAT-Related Job Announcements

CRS is looking for a Data Scientist to lead the development of data products for its program teams, helping improve data-driven decision-making and program impact. This remote position (United States-based) requires a Master’s degree in mathematics, statistics, or data science and at least five years of experience in data science or analysis. The ideal candidate should have expertise in programming (Python or R), statistical analysis, and machine learning, with the ability to manage data products, work with sector teams, and share actionable insights. Experience with geospatial data analysis is a plus. Apply by 12/14/2024. 

A postdoctoral researcher or skilled M.S. graduate is needed to join an interdisciplinary team studying the impact of landscape-scale processes and land management on stream habitats and aquatic life. This role involves developing a modeling framework to link land management practices, such as Best Management Practices, with river ecohydrology to predict responses in aquatic communities. The research focuses on the watersheds at Fort Leonard Wood, providing stakeholders with insights into conservation benefits related to sediment reduction in streams. This position, based at the University of Missouri in collaboration with Texas A&M and the U.S. Army Corps of Engineers, offers opportunities for publication, conference participation, and collaborative research. Candidates should hold a Ph.D. or a strong M.S. in natural resources or a related field, with experience in SWAT modeling, scripting (R, Python), data analysis, and ecohydrological methods, along with strong communication skills. The start date is preferably January but is negotiable. The salary ranges from $50,000 to $60,000, depending on experience, and includes full benefits.

Apply by sending a cover letter; a curriculum vitae; unofficial transcripts, and contact information (including telephone numbers and e-mail addresses) for three professional references to whittierj@missouri.edu.

The SMARS lab at USDA-ARS, Maricopa, AZ is seeking a Post-Doctorate Researcher. The researcher will contribute to research activities under a NASA funded project. The project’s primary goal is to improve the existing crop modeling system and implement at a large regional scale to estimate carbon and nitrogen fluxes in agricultural lands. We are seeking a potential candidate with expertise in process-based crop modeling and sound knowledge in carbon and nitrogen dynamics.

The successful candidate will closely collaborate with a multidisciplinary team, and he/she will involve in data collection, model calibration and configuration, model implementation and uncertainty quantification. The incumbent will communicate with stakeholders involved in the project, and present outcomes of the project at scientific conferences and meetings, as well as write reports and publications.

Applicants should have a Ph.D. or equivalent in agricultural engineering, agronomy, soil science, ecology, or environmental science. Candidates must have demonstrated experience in using and improving process-based crop models such as Environmental Policy Integrated Climate (EPIC), Decision Support System for Agrotechnology Transfer (DSSAT), DayCENT, DNDC or equivalent, and have hands-on experience in spatial data processing. Experience and skills in programming languages (e.g. Fortran, C++ and Python/R) and analytical skills in model evaluation are strongly preferred.