Start reviewing process: 3 October 2023
Graduate student (PhD level)
Start reviewing process:
3 October 2023
Seeking a graduate student (PhD level) to join FEILD at the University of Tennessee. The PhD Student filling this position will have the opportunity to formulate their own research design that incorporates analytical skills in data-intensive modeling techniques such as Bayesian statistical learning, neural networks, classification and regression trees, multivariate analysis, graphical models, and geospatial analytics. Potential projects revolve around flood modeling in agriculture-dominated landscapes, assessing water quality dynamics after major storm events, and quantifying microplastic abundance/type in different urban watersheds. Compensation includes a tuition waiver, competitive stipend, and health insurance.
Education: B.S. or M.S. in Biological and Agricultural Engineering, Environmental Engineering, Natural Resource Engineering, or closely related engineering discipline.
To apply: Email CV, cover letter describing any relevant experience and graduate school interests, and contact information of two references to Dr. Eminé Fidan (firstname.lastname@example.org).
Eminé Fidan, Ph.D.
Assistant Professor of Ecological Systems Engineering
Biosystems Engineering and Soil Science
The University of Tennessee
309 BESS Office Building