North Carolina State University
6 months ago
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Fully Funded PhD in AI-Enabled Modeling of Agricultural Nitrogen Cycling and Greenhouse Gas Emissions North Carolina State University in United States
Degree Level
PhD
Field of study
Computer Science
Funding
Fully funded PhD position. The post states the student will be fully funded; no stipend amount, tuition details, or additional benefits are specified.
Deadline
Expired
Country
United States
University
North Carolina State University
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About this position
North Carolina State University is advertising a fully funded PhD position in the Soil Science Program focused on AI-enabled modeling of agricultural nitrogen cycling and greenhouse gas emissions. The project is part of a multi-institutional collaboration aimed at improving predictions of nitrogen use efficiency, N2O emissions, and nitrogen losses in agricultural systems.
The research emphasis includes process-based/biogeochemical models, AI-enabled agroecosystem modeling, model-data fusion, uncertainty quantification, and integration of high-frequency field measurements, soil microbiome data, and environmental datasets. This is a strong fit for students interested in environmental science, agriculture, soil science, earth system science, computer science, and statistics.
Desired preparation includes programming experience in Python, R, Julia, Fortran, C++, or similar languages, plus experience with ML/AI frameworks, statistical inference, and ecosystem/biogeochemical modeling. The post says applicants should have a BS or MS in earth system science, environmental/soil science, data science, computer science, engineering, or a related field.
The supervisor named in the linked faculty page is Debjani Sihi, Assistant Professor at North Carolina State University. Her research program focuses on the plant-soil-microbe-atmosphere continuum, integrating field and laboratory data with machine learning and process-based models, especially for soil carbon and nutrient cycles and greenhouse gas emissions.
To apply, prospective students should email an academic CV and a brief research interest statement to [email protected]. The position is expected to start in Fall 2026 or Spring 2027.
Funding details
Fully funded PhD position. The post states the student will be fully funded; no stipend amount, tuition details, or additional benefits are specified.
What's required
Applicants should have a BS or MS in earth system science, environmental science, soil science, data science, computer science, engineering, or a related field. Desired preparation includes programming experience in Python, R, Julia, Fortran, C++, or similar, and experience with ML/AI frameworks, statistical inference, ecosystem or biogeochemical modeling. Interest in process-based models, agroecosystem modeling, data fusion, and greenhouse gas flux prediction is preferred.
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Professors
Assistant Professor
United States
Research Interests
Statistics
Soil Science
Biology
Computer Science
Earth Science
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.