Post-Doctoral Research Scholar
Job description
Posting Number:
PG190362PD
Position Number:00108382
Position Type:Post Doc
FLSA:Exempt
Department ID:150401 - For & Envir Res Acad Research
Department:150401 - For & Envir Res Acad Research
Job City & State:Raleigh, North Carolina
Essential Job Duties:The Dept. of Forestry and Environmental Resources at NC State University is seeking a postdoc economist with interests in forestry and land use modeling to contribute to a multi-institution collaboration on sustainable land use pathways and analysis of land sector policies in the U.S.
The postdoc will contribute to the development and application of a spatially detailed U.S. module of the Global Biosphere Management Model (GLOBIOM), in close collaboration with U.S.-based researchers and the GLOBIOM development team at the International Institute for Applied Systems Analysis (IIASA). This project will focus on improving the representation of the U.S. forest resource base and forest product markets in the global framework. The postdoc will engage with researchers at partner universities, IIASA, the UN Sustainable Development Solutions Network, and RTI International. The work will build on a recent report published by the Food, Agriculture, Biodiversity, Land use, and Energy (FABLE) Consortium to evaluate economic and environmental implications of alternative U.S. land use pathways. Policy analysis and modeling efforts will focus on the combination of a wide range of long-term sustainability goals, including climate mitigation strategies, land/biodiversity conservation efforts, water conservation and quality protection, and bioenergy expansion. The postdoc will also have the opportunity to contribute to a new Forest Model Inter-Comparison (For-MIP) project, co-led by the NC State PI and other collaborators.
The successful candidate may also have the opportunity to work on projects in collaboration with the Southern Forest Resource Assessment Consortium (SOFAC) and the Science and Technologies for Phosphorus Sustainability Center (STEPS) at NCSU .
As assigned by the supervisor
Work Schedule:Monday through Friday 8-5 with flexibility
Department Required Skills:Strong quantitative skills and experience in forest and agricultural sector optimization modeling using GAMS. Strong empirical and geospatial analysis background, including the ability to build, manage, and analyze large datasets that integrate land use/cover, forest inventory, agriculture/forestry economic statistics and other spatial and economic information using statistical software (e.g., SAS, Python, Matlab, R, Stata) and associated geospatial tools (e.g., ArcGIS, QGIS, etc.).
Preferred Years Experience, Skills, Training, Education:This position requires a PhD in natural resource economics, agricultural economics, forest resource economics or a related field. Terminal degree must be completed by first day of employment.
Required License or Certification:N/A
Valid NC Driver's License required?:No
Commercial Driver's License Required?:No
Anticipated Hiring Range:$55,000/Year
Job Open Date:02/15/2021
Quick Link:https://jobs.ncsu.edu/postings/140473
AA/EOE:NC State University is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, sex, gender identity, age, sexual orientation, genetic information, status as an individual with a disability, or status as a protected veteran.
If you have general questions about the application process, you may contact Human Resources at (919) 515-2135 or [email protected] Individuals with disabilities requiring disability-related accommodations in the application and interview process, please call 919-515-3148.
Final candidates are subject to criminal & sex offender background checks. Some vacancies also require credit or motor vehicle checks. If highest degree is from an institution outside of the U.S., final candidates are required to have their degree equivalency verified at www.wes.org or equivalent service. Degree(s) must be obtained prior to start date in order to meet qualifications and receive credit.
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