Association of Polar Early Career Scientists


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Postdoc for coupled air/sea/ice modeling and data assimilation
College Park, Maryland, USA
NOAACenter for Weather and Climate Prediction
  • Postdoctoral Researcher
We encourage applicants to apply for an open post-doctoral research position, starting 1st September 2021, to study coupled atmospheric/oceanic/sea-ice modeling and data assimilation strategies within the NOAA Unified Forecast System (UFS). This work will be performed at the NOAA Center for Weather and Climate Prediction in College Park, MD, USA, under the guidance of scientists from the University of Maryland (UMD) and the NOAA National Center for Environmental Prediction (NCEP) Environmental Modeling Center (EMC). Scientific advancements achieved over the course of this work will directly benefit operational environmental predictions on time scales of hours to months. Goals of this project include the following: 
  • Develop an ensemble-based sea ice data assimilation system based on the Joint Effort for Data Assimilation Integration (JEDI) framework
  • Develop and test novel methods for assimilating satellite sea ice thickness and sea ice age observations
  • Examine differences between the NOAA UFS and the experimental Geophysical Fluid Dynamics Laboratory (GFDL) Seamless System for Prediction and Earth System Research (SPEAR)
Logistics: This is a 1-year postdoctoral research associate appointment, renewable up to a maximum of 2-years. In addition to carrying out independent and collaborative research, the hired postdoc is expected to communicate major scientific findings in peer-reviewed journals, scientific meetings, and conferences.
Minimum requirements
  • A PhD degree in atmospheric or oceanic science, applied mathematics, physics, scientific computing / computational science, computer science, or a related discipline
  • An interest in geophysical modeling and data assimilation
  • Experience running numerical models on high performing computer (HPC) platforms using MPI, OpenMP, Slurm, LSF, etc.
  • Experience with high-level object-oriented programming languages (e.g., Fortran, C++), at least one scripting language (e.g., Python, Shell), and at least one version control system (preferably Git).
  • Well-developed skills in data processing and visualization
  • An excellent record of disseminating scientific findings in peer-reviewed journals and professional meetings.

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