Post Doctoral Scholar
Core
Develop, evaluate, and apply ecosystem and environmental models to assess environmental outcomes and ecosystem services, with an emphasis on carbon sequestration, greenhouse gas emissions, and water quality.
Role type
Postdoctoral Researcher (Agricultural Ecosystem Science)
Builds
Decision-support tools and assessments for agricultural conservation practices and ecosystem services
Domain
Agricultural Engineering / Environmental Science / Hydrology
Deliverable
production ML models
Required skills
Ecosystem modeling, Hydrologic modeling, Biogeochemical modeling, Watershed assessment, Machine learning, Data mining, Grant writing, Scientific publishing
Preferred skills
Carbon accounting, COMET-Farm, Large-scale environmental data analysis, Interdisciplinary team collaboration
Technologies
R, Python, MATLAB, FORTRAN
Responsibilities
Develop and apply ecosystem and environmental models; Conduct data mining and analysis using machine learning and AI; Integrate field, watershed, and regional-scale datasets; Publish research findings in peer-reviewed journals; Contribute to proposal development and grant-writing; Mentor graduate and undergraduate students
Seniority
Postdoctoral Scholar (Early-career researcher)
