The University of Florida's Department of Soil, Water, and Ecosystem Sciences is offering a PhD student position in the Hydrology and Water Quality Lab, led by Assistant Professor Golmar Golmohammadi. The successful candidate will join an interdisciplinary research group at the Range Cattle Research & Education Center (RCREC), focusing on the development of next-generation decision support systems (DSS) for sustainable water resources management. This research opportunity centers on the application and development of physically based hydrologic and water-quality models, as well as optimization techniques, to support decision-making at both field and watershed scales. The work will have a strong emphasis on agricultural systems, best management practices (BMPs), scenario analysis, and the creation of stakeholder-oriented DSS tools. The project is ideal for students interested in hydrology, water quality, environmental modeling, and the integration of AI/ML and remote sensing technologies in environmental systems. Preferred candidates will have experience in hydrologic and/or water-quality modeling, AI/ML applications for environmental systems, remote sensing, geospatial data analysis, and programming (Python, MATLAB, FORTRAN). Applicants must currently reside in the United States and possess a Master’s degree from a reputable U.S. institution in agricultural engineering, soil science, environmental science, hydrology, or a related field. To apply, send your CV and transcripts to Dr. Golmar Golmohammadi at [email protected]. The position is set to begin in Fall 2026. For more information, visit the supervisor's LinkedIn profile .

The University of Florida, under the supervision of Assistant Professor Golmar Golmohammadi, is offering a postdoctoral opportunity in the fields of hydrology, water-quality modeling, artificial intelligence, and geospatial analysis. The position focuses on integrating advanced modeling techniques with decision-support tools for real-world environmental and agricultural applications. Research activities will involve the use of Earth observation data, UAVs, and in-situ measurements to address challenges in watershed hydrology and biogeochemistry. Ideal candidates will have expertise in hydrology, environmental science, geography, or computer science, with a strong background in AI/ML and geospatial data analysis. The work environment encourages interdisciplinary collaboration and aims to develop innovative solutions for environmental monitoring and agricultural management. The University of Florida provides a vibrant research setting with access to state-of-the-art resources and a commitment to impactful research in environmental and agricultural sciences. Applicants are expected to have a PhD in a relevant field and demonstrate experience with water-quality modeling, artificial intelligence or machine learning, and geospatial analysis using Earth observation, UAV, and in-situ data. A strong interest in applying these skills to environmental and agricultural challenges is highly desirable. Interested individuals are encouraged to contact Dr. Golmar Golmohammadi directly via email or LinkedIn to discuss the opportunity and share their qualifications.