Biosphere 2 at the University of Arizona (UA) is seeking a Postdoctoral Research Associate to conduct quality assessment and analysis in the Biosphere 2 tropical rainforest. Candidates should hold a PhD in forest ecology, plant physiology, hydrology, or environmental science or engineering upon hire. Expertise in technical field measurements, the use of dataloggers, and instruments for monitoring dynamic physiological and environmental conditions. Candidates with empirical, theoretical, or modeling backgrounds are encouraged to apply.

Please apply at: https://arizona.csod.com/ux/ats/careersite/4/home/requisition/18252?c=arizona

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We are seeking to fill a GS-11/12 Postdoctoral research position with the USDA-Agricultural Research Service at the Eastern Oregon Agricultural Research Center. The successful candidate gets to choose between two research projects that seek to understand the carbon dynamics of the sagebrush steppe. The research foci options are (1) addressing how carbon fluxes (CO2 and CH4) change when cattle are grazing native forage in the sagebrush steppe, or (2) determining best sampling and practices for managing soil carbon in the sagebrush steppe. Both projects are part of a larger network of researchers addressing these questions and the candidate will be fully involved in making research decisions and communicating results as an active member of the research networks.

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The postdoc will play an active role in both the field component of this project and the
data synthesis effort. Potential activities include operation and interpretation of eddy
covariance flux (methane, carbon dioxide) measurements, supervising personnel and
interfacing with other team members making measurements of isotopes, soils, vegetation,
and associated environmental measurements. The postdoc will be expected to organize,
analyze, and maintain large data sets generated from a number of sensors and gas
exchange measurement systems, and participate in data analysis and publications.

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Candidates with a background in climate science, biogeochemistry, ecosystem ecology,
plant or soil science are encouraged to apply. The postdoc will play an active role in both the field component of this project and the data synthesis effort. Potential activities include operation and interpretation of eddy covariance flux (methane, carbon dioxide) measurements, supervising personnel, and interfacing with other team members making measurements of isotopes, soils, vegetation,
and associated environmental measurements.

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The postdoc will be expected to organize, analyze, and maintain large data sets generated from a number of sensors and gas exchange measurement systems, and participate in data analysis and publications. Candidates with a background in climate science, biogeochemistry, ecosystem ecology,
plant or soil science are encouraged to apply.

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David Moore at the University of Arizona’s School of Natural Resources seeks a highly motivated Postdoctoral Researcher to contribute to research projects to understand the controls and drivers of large-scale and long-term patterns of gross primary productivity and carbon cycling across North America. The project will use a combination of modeling and empirical approaches to examine the role of state factors and interactive controls in regulating long term carbon uptake and storage. The project will use a combination of land surface modeling, in situ flux observations, geospatial datasets, and remotely sensed data. The successful candidate will collaborate with a multidisciplinary team of researchers and will be expected to lead and contribute to peer reviewed publications and conference presentations.

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We seek a postdoctoral researcher to join a collaborative project evaluating the methane budget and the potential for its management in contrasting environments. This project aims to quantify and contrast the CH4 budget and its responses to manipulations in landfills, as well as the response of CH4 budget to flood and vegetation variation in tropical floodplains. Through intense data analyses, new data acquisition, use of existing models, and new machine learning approaches, project will aim to develop predictive responses to ecosystem manipulations or estimate prescribed regimes to reach a near neutral emission status on landfill or managed wetlands
Starting of position is flexible but as early as possible in Spring 2023 is desired

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