• Help

    Duties

    Summary

    This position is located within the USDA Agricultural Research Service, Beltsville Agricultural Research Center, Adaptive Cropping Systems Laboratory in Beltsville, MD.

    The mission of this unit is to apply systems theory to the solution of complex, agricultural problems and to develop computer-aided farm decision-support systems and assessment tools for environmental study and analysis.

    Learn more about this agency

    Responsibilities

    • Use and improve models to evaluate and assess long-term sustainability of agricultural systems and processes associated with the USDA-ARS Long-Term Agroecosystem Research (LTAR) network.
    • Create new process-level mechanistic and artificial intelligence modeling algorithms into existing crop and soil models that better distinguish effects of genetics (G), environment (E), and management (M) components from long-term field plots.
    • Identify long-term trends associated with G, E, and cultivar components on yield, grain quality, and physical/chemical soil characteristics.
    • Develop adaptation strategies based on management and genetic selection that can lead to long-term improvement of soil health and sustainable high yields in response to future climates.
    • Apply crop models to address management questions around issues such a Greenhouse Gas (GHG) emissions, weed pressure, nutrient and water management, and crop rotations.
    • Large scale modeling and incorporation of remotely sensed data will be investigated.
    • Analysis of spatial variability will be conducted to analyze optimal management prescriptions that lead to yield stability analysis over the regions of interest.

    Travel Required

    Occasional travel - You may be expected to travel for this position.

    Supervisory status

    Yes

    Promotion Potential

    15

This job originated on www.usajobs.gov. For the full announcement and to apply, visit www.usajobs.gov/GetJob/ViewDetails/595447000. Only resumes submitted according to the instructions on the job announcement listed at www.usajobs.gov will be considered.