Postdoctoral Research Associate in Ecohydrology, Soil Physics, and Complex Adaptive Systems
University of California, Riverside
Department of Environmental Sciences
Homepage: https://envisci.ucr.edu/
Hydrological Sciences (HS)
Soil System Sciences (SSS)
Job Description
We are seeking a highly motivated postdoctoral researcher to join an interdisciplinary team focusing on ecohydrology, soil physics, and the dynamics of complex adaptive systems in water-limited ecosystems. This position offers a unique opportunity to work on cutting-edge research related to sustainable water management, plant salt tolerance, and biophysical interactions in degraded natural and managed environments.
Key Responsibilities:
Conduct research on plant-soil-water interactions, emphasizing soil physics and salinity impacts.
Develop and apply mechanistic and stochastic models to explore water and food security within complex adaptive systems.
Collaborate on projects integrating hydrology, biogeochemical cycles, and human-natural system feedback.
Contribute to developing ecohydrological models and frameworks that inform sustainable water and land management.
Qualifications:
Ph.D. in hydrology, soil physics, environmental science, environmental engineering, or a related field.
Expertise in process-based modeling, data analysis, and ecohydrology, with a background in soil physics.
Experience with plant physiological modeling, salinity impacts on soil water balance, or the dynamics of complex adaptive systems.
Experience with fieldwork in land-atmosphere gas exchange measurements is preferred.
Proficiency in quantitative tools such as programming, data analysis, and model development.
Excellent communication and teamwork skills.
Application Material:
Applicants should submit a complete application package by email to saverio.perri@ucr.edu. The selection process will start immediately, but we will accept applications until the position is filled. The application package should include (1) a curriculum vitae, (2) a statement of motivation (1 page max), (3) a PDF of PhD thesis, and (4) names, affiliations, and email addresses of at least two references.