Preferred Years Experience, Skills, Training, Education
Experience with high-performance computing, parallel computing, and APIs. Strong track record in biogeochemical and agronomic (or crop) modeling. Experience working with big data collected across multiple temporal (sub-daily to annual) and spatial (farm to region) scales from field experiments. Knowledge of soil health indicators, eddy covariance measurements, and soil sensors. Experience with remote sensing, IoT technologies, and spatial modeling techniques/ GIS methods. Demonstrated record of publishing in peer-reviewed journals.
Work Schedule
Monday - Friday, 8 am - 5 pm
