European Geosciences Union (EGU)
Post Doctorate Research Associate – Forest Trace Gas Cycling
European Geosciences Union (EGU), Sequim, Washington, United States, 98334
Post Doctorate Research Associate – Forest Trace Gas Cycling
Join to apply for the Post Doctorate Research Associate – Forest Trace Gas Cycling role at European Geosciences Union (EGU).
This postdoctoral research associate will conduct field and laboratory studies to establish mechanistic understanding of how trees cycle trace gases such as methane and nitrous oxide, and develop reduced-order models and machine learning methods to predict fluxes based on tree physiology and environmental drivers.
Responsibilities
Conduct lab and field-based studies for forest trace gas cycling projects.
Collaborate with team members to develop physics-based and machine learning-enabled models.
Operate and calibrate analytical equipment (e.g., trace gas analyzers, field sensors).
Test novel methods for assessing drivers of tree trace gas cycling (e.g., electrical resistivity tomography, sonic tomography).
Analyze and visualize data from field and lab studies.
Disseminate results in peer-reviewed publications.
Engage in collaborations across large project teams.
Qualifications Minimum Qualifications:
PhD earned within the past 60 months or to be earned within 8 months of application date from an accredited institution.
Preferred Qualifications:
PhD in a Chemical, Physical, Biological, or Environmental Science.
Experience with R or other programming languages for statistical analyses and/or machine learning.
Familiarity with studying environmental trace gas cycling and operating relevant instrumentation.
Forestry science experience or experience studying trace gases in other environments such as wetlands or inland waters.
Experience working in diverse and interdisciplinary teams.
How to apply Please visit: https://careers.pnnl.gov/jobs/10985?lang=en-us
#J-18808-Ljbffr
This postdoctoral research associate will conduct field and laboratory studies to establish mechanistic understanding of how trees cycle trace gases such as methane and nitrous oxide, and develop reduced-order models and machine learning methods to predict fluxes based on tree physiology and environmental drivers.
Responsibilities
Conduct lab and field-based studies for forest trace gas cycling projects.
Collaborate with team members to develop physics-based and machine learning-enabled models.
Operate and calibrate analytical equipment (e.g., trace gas analyzers, field sensors).
Test novel methods for assessing drivers of tree trace gas cycling (e.g., electrical resistivity tomography, sonic tomography).
Analyze and visualize data from field and lab studies.
Disseminate results in peer-reviewed publications.
Engage in collaborations across large project teams.
Qualifications Minimum Qualifications:
PhD earned within the past 60 months or to be earned within 8 months of application date from an accredited institution.
Preferred Qualifications:
PhD in a Chemical, Physical, Biological, or Environmental Science.
Experience with R or other programming languages for statistical analyses and/or machine learning.
Familiarity with studying environmental trace gas cycling and operating relevant instrumentation.
Forestry science experience or experience studying trace gases in other environments such as wetlands or inland waters.
Experience working in diverse and interdisciplinary teams.
How to apply Please visit: https://careers.pnnl.gov/jobs/10985?lang=en-us
#J-18808-Ljbffr