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The University of Tennessee Knoxville

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PhD Position in Tropical Forest Dynamics and Carbon Cycling University of Tennessee, Knoxville in United States

Degree Level

PhD

Field of study

Computer Science

Funding

Graduate research assistantship PhD position; funding details are not specified in the post.

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Country

United States

University

The University of Tennessee Knoxville

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Keywords

Computer Science
Environmental Science
Biology
Remote Sensing
Geography
Spatial Analysis
Earth Science
Carbon Cycling
Geometric Modeling
Statistics
Programming Language

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About this position

PhD opportunity in Tropical Forest Dynamics and Carbon Cycling at the University of Tennessee, Knoxville, in Dr. Lei Ma’s Research Group within the School of Natural Resources and Herbert College of Agriculture.

This graduate research assistantship focuses on tropical forest dynamics, carbon cycling, and related ecosystem processes. The post highlights a strong fit for students with backgrounds in environmental science, geospatial analysis, quantitative fields, or computational disciplines. Helpful experience includes programming, modeling, and remote sensing.

Eligibility highlights: applicants should hold a degree in an environmental, geospatial, quantitative, or computational field, and demonstrate strong quantitative interest.

Funding: the position is described as a graduate research assistantship, but no stipend, tuition, or other financial details are provided in the post.

Application: apply by email to [email protected] with a CV and a brief statement of research interests and relevant experience. Review is on a rolling basis until filled, for a Fall 2027 start.

Funding details

Graduate research assistantship PhD position; funding details are not specified in the post.

What's required

Applicants should have a degree in an environmental, geospatial, quantitative, or computational field. Strong quantitative interest is required, and programming, modeling, or remote-sensing experience is a plus.

How to apply

Email [email protected] with a CV and a brief statement of research interests and relevant experience. Applications are reviewed on a rolling basis until the position is filled.

More information can be found here

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