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Rebecca Muenich

3 months ago

Postdoctoral Fellow in Ecohydrology of Grazing Pastures and Water Use Efficiency University of Arkansas in United States

Degree Level

Postdoc

Field of study

Environmental Science

Funding

Postdoctoral fellow appointment; funding details, stipend, tuition, or benefits are not stated in the post.

Country flag

Country

United States

University

University of Arkansas

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Keywords

Environmental Science
Agriculture
Biology
Remote Sensing
Predictive Modeling
Hydrology
Earth Science
Carbon Cycling
Grassland Management

About this position

Rebecca Muenich (Associate Professor, University of Arkansas) is hiring a Postdoctoral Fellow in Biological and Agricultural Engineering to work with USDA colleague Pradeep Wagle on research in ecohydrology of grazing pastures.

The project focuses on eddy fluxes and water use efficiency under varying grazing management practices. Research themes include: (1) how grazing strategies affect carbon and water cycling in grassland ecosystems, (2) integrating remote sensing data such as NDVI, EVI, and land surface temperature with eddy flux measurements to scale findings and build predictive models, and (3) quantifying the temporal and spatial variability of water use efficiency across grazing treatments.

This is a postdoctoral opening, not a scholarship. Funding details are not specified in the post. The work is physically located at the University of Arkansas in the United States.

Interested applicants should follow the application link provided in the post and review the full posting for submission instructions and eligibility details.

Funding details

Postdoctoral fellow appointment; funding details, stipend, tuition, or benefits are not stated in the post.

What's required

Postdoctoral fellow position in Biological and Agricultural Engineering. The post specifically targets candidates interested in ecohydrology, grazing pasture systems, eddy flux measurements, remote sensing, and modeling water use efficiency. Experience with carbon and water cycling, NDVI/EVI/land surface temperature data, and predictive modeling would be relevant.

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Professors

Associate Professor

University Name
Country flag

United States

Research Interests

Hydrology

Environmental Chemistry

Water Resource Management

Remote Sensing

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