Debjani Sihi

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 .