SWAT-Related Job Announcements

The Institute of Natural Resource Conservation, Department of Hydrology and Water Resources Management at CAU Kiel is seeking a postdoctoral researcher specializing in SWAT+ modeling. The position is for 4 years, with the potential for an additional 4 years if the project is successfully extended. The role can start immediately, and no German language skills are required. This is an excellent opportunity to contribute to innovative hydrological and environmental research.

For more information or to apply, please contact Dr. Nicola Fohrer at nfohrer@hydrology.uni-kiel.de

IMDEA Agua, in collaboration with the ERC CoG WaterTheft project team, is seeking an early career (postdoc) hydrologist with a PhD (or in the final year of their PhD) and a strong quantitative background in engineering, physics, or mathematics. The successful candidate will have expertise in hydrologic modeling and knowledge of human-water systems, hydroeconomics, and socio-hydrology under uncertainty. Responsibilities include preparing hydrologic databases, working with remote sensing data on water use across California, Australia, and Spain, setting up hydro(geo)logic models coupled with human systems, integrating land use dynamics, and developing a multi-model ensemble in collaboration with data scientists and economic modelers. Proficiency in relevant software such as SWAT+, HEC-HMS, or HYPE is essential, alongside an interest in interdisciplinary work and data science. This full-time position is for four years (2+2, renewable), with a gross annual salary of €35,500, starting on February 1, 2024. Applications, including a CV and cover letter, must be submitted by January 15, 2024. The working language is English, and the evaluation criteria will consider education, digital competencies, and research experience.

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.