Career Center

Position description: Department of Biosystems Engineering and Soil Science at the University of Tennessee-Knoxville has an opening for a grant-funded postdoctoral position with training in soil greenhouse gas emissions (with strong focus on nitrous oxide, N₂O), biogeochemistry, data science, predictive modeling using machine learning and deep learning, or related discipline. The main goal of this position is to synthesize a large database, largely focused on assimilating highly resolved soil N₂O fluxes and associated metadata obtained from automated chamber-based measurements in managed systems, as provided by the global data contributors. The goal is to train AI models by leveraging this database for improved predictability and explainability of N₂O emissions in relation to complex covariate interactions and generating novel insights to inform the process-based models. This position offers a unique opportunity to work with multiple project partners from other institutions (Penn State, Michigan State University) with diverse expertise in machine learning, soil science, agronomy, and process modeling.