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Postdoctoral Research Associate - Computational Ecology / Ecohydrology / NB50645552
Oak Ridge National Laboratory
Oak Ridge National Laboratory
 

Job Location: Oak Ridge, TN

Purpose:
The Climate Change Science Institute within the Environmental Sciences Division at Oak Ridge National Laboratory (ORNL) seeks a postdoctoral researcher with experience in computational ecology and/or ecohydrology to support a newly funded project aimed at exploring how plant traits and the hydrologic environment co-vary to form ecosystem function.


Major Duties/Responsibilities:
Your primary responsibilities will be to develop, calibrate, and evaluate coupled models of trait-based ecosystem function and hydrology, and then use those models to advance the fields understanding of how plant traits and the abiotic environment interact and co-evolve. You will join a multi-disciplinary team of investigators including experts modeling and observing plant traits, plant hydraulics, and hydrology, who are developing and evaluating numerical models coupling a fine-scale hydrologic model to a model of plant demography and competition. You will develop hypothesis-driven numerical experiments, bringing data and ecosystem process understanding together with models to evaluate these hypotheses, and lead papers describing those findings. You will also have the opportunity to shape how ecosystem function is modeled in next generation Earth System Models, which play a critical role in science relevant to both society and policy.


Qualifications Required:
A Ph.D. in ecology, hydrology, applied mathematics, or a related field is required. Prior knowledge and demonstrated expertise in one or more of the following areas are required:
  • modeling plant community formation, function, and strategies for modeling competition
  • modeling plant physiology including leaf
  • and canopy-level photosynthesis and biophysics, plant hydraulics, and/or recruitment/mortality
  • modeling hydrology in natural systems
  • coupled Earth system modeling
  • high-performance computingA proven publication record, as well as excellent oral and written communication skills and the ability to work both independently and as a key contributor to a multidisciplinary team are required. Experience using these types of models is required; experience developing them is a plus. Specifically, experience with ecosystem demography models is advantageous. Experience in programming languages including C++ and Fortran (for model development) and python and R (for model evaluation and workflow) is advantageous. Experience processing and leveraging large, complex datasets of observations is advantageous.Applicants cannot have received their Ph.D. degree more than five years prior to the date of application and must complete all degree requirements before starting their appointment. This position is a full-time assignment for a maximum of 24 months, contingent on successful performance and continued funding.






    Oak Ridge National Laboratory

    ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-verify Employer.
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