PhD Position in Modeling Agricultural N₂O Emissions at North Carolina State University

[Martin Köchy (DAFA) <martin.koechy AT thuenen.de>]

PhD Position in AI-Enabled Modeling of Agricultural Nitrogen Cycling

A fully-funded PhD position is available in the Soil Science Program at North Carolina State University to work on AI-enabled
modeling of nitrogen cycling and greenhouse gas emissions in agricultural systems. The student will contribute to a multi-
institutional collaborative project focused on improving predictions of nitrogen use efficiency, N₂O emissions, and nitrogen
losses using advanced modeling and multi-scale data integration, with a start date in Fall 2026 or Spring 2027.

Research Focus
• Process-based/biogeochemical models
• AI-enabled agroecosystem modeling
• Model–data fusion & uncertainty quantification
• Integration of high-frequency field measurements, soil microbiome data, and environmental datasets
• Predicting nitrogen budgets and greenhouse gas fluxes

Desired Background
• Programming experience (Python, R, Julia, Fortran, C++, or similar)
• Experience with ML/AI frameworks, statistical inference, ecosystem/biogeochemical modeling
• BS/MS in Earth system science, environmental/soil science, data science, computer science, engineering or related fields

Prospective students are encouraged to send CV and brief research interest to Debjani Sihi (dsihi AT ncsu.edu).

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Debjani Sihi, Ph.D. (She/her/hers)

Assistant Professor 

Department(s): Plant & Microbial Biology | Crop & Soil Sciences

N.C. Plant Sciences Initiative | CALS AI Cluster 

College of Agriculture and Life Sciences | North Carolina State University

4168A/3105, Plant Sciences Building, Raleigh, NC 27606

O: 919-513-2465, C: 352-222-5655, E: dsihi AT ncsu.edu 

Website: https://www.debjanisihi.com

Twitter/X: @Sihi_Lab Instagram: sihi_lab

Attachment: PhD Announcement_NCSU.pdf
Description: Adobe PDF document