[ES_JOBS_NET] Postdoc opening on Carbon Impacts of Land Use Change (Madison, WI)

Tyler Lark lark at wisc.edu
Fri Nov 18 20:40:21 MST 2022


Post-Doctoral Research Scientist on Carbon Modeling and Climate Impacts of
Agricultural Land Use and Conservation:

*Summary: *The University of Wisconsin-Madison’s Center for Sustainability
and the Global Environment (SAGE) seeks an exceptional post-doctoral
scientist with expertise in carbon cycling, ecosystem modeling, and
agricultural land use to study global and U.S. carbon fluxes and climate
mitigation opportunities. This position will conduct research, analyses and
model development that is focused on improving the climate outcomes of
agricultural production, conservation practices, and environmental policy
across diverse scales and geographies.



*Job Responsibilities: *The candidate will lead the creation of a new,
globally integrated dataset of soil carbon,
<https://www.gtap.agecon.purdue.edu/resources/res_display.asp?RecordID=4344>
biomass, <https://www.nature.com/articles/s41597-020-0444-4> and region-
and landcover-specific emissions factors
<https://www.gtap.agecon.purdue.edu/resources/res_display.asp?RecordID=4346> to
improve estimates of emissions from land use change. Together with
collaborators at the USDA Economic Research Service, Kansas State
University, and Purdue University, the candidate will use their data in
concert with global economic models to identify opportunities to reduce the
environmental impacts of land use change (e.g. tropical deforestation or
temperate grassland conversion) via supply chain interventions, trade
policies, or other initiatives. The candidate will also contribute to an
assessment of the realizable extent and carbon sequestration potential of
agricultural conservation practices (e.g. cover crops, reduced tillage)
across the United States. Additional opportunities to collaborate on
analyses of sustainable bioenergy production and/or Natural Climate
Solutions across the U.S., North America, or globe are also available
depending on the candidate’s availability and interest.



*Ideal qualifications *include some of the following:

·         Expertise in terrestrial carbon cycle science, modeling, and
assessment

·         Experience with process-based ecosystem models, data synthesis, or
statistical analyses

·         Interest in using cloud-based computing resources (e.g. Google
Earth Engine, AWS) for large- scale data processing to help solve global
environmental challenges

·         Familiarity with agricultural conservation practices and/or
impacts of agroecosystem management and land use changes (e.g. nutrient
use, biodiversity)

·         Possess a Ph.D. or M.S. plus extensive research experience



The researcher will be joining a highly collaborative and energetic team
working with Prof. Holly <http://www.gibbs-lab.com/holly-gibbs/> Gibbs
<http://www.gibbs-lab.com/holly-gibbs/>, Dr. Tyler Lark,
<https://scholar.google.com/citations?user=xVsone4AAAAJ&hl=en&oi=ao> and
other members of the Global Land Use & Environment
<http://www.gibbs-lab.com/> lab who have significant experience in carbon
modeling and land system science. The city of Madison
<http://www.gibbs-lab.com/welcome-to-madison/>*, WI,* is widely recognized
for its warm community, high quality of life, culture and arts scene, and
easy access to natural areas. Costs of living are moderate, public
transportation and bicycle paths are easy transportation options, and there
is a vibrant international community.



Applications will be reviewed upon submission. The position is available
immediately for an initial appointment of up to 2 years, with strong
potential for continuation pending funding and performance. Salary is
commensurate with experience and a minimum of $51,957 per year, plus health
insurance benefits. The position is based in Madison, WI, with potential
for hybrid work.



*To apply, *please submit an electronic cover letter detailing
qualifications, CV, and phone and email addresses of three references to
Dr. Tyler Lark, lark at wisc.edu. <lark at wisc.edu>
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