We encourage applicants to apply for an open post-doctoral research position, starting 1st September 2021.
July 22, 2021 12:00 am
Aug. 31, 2021 12:00 am
Earth System Science Interdisciplinary Center (ESSIC/UMD)
Postdoc for Atmospheric physical parameterizations in the NOAA Unified Forecast System (UFS)
Starting Salary: Commensurate with experience
Closing Date: Tuesday, August 31, 2021
We encourage applicants to apply for an open post-doctoral research position, starting 1st September 2021, to support the development of sub-grid scale atmospheric physics parameterizations within the NOAA Unified Forecast System (UFS). This work will be performed at the NOAA Center for Weather and Climate 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). Goals of this project include the following:
- Perform rigorous testing of experimental cloud microphysics, planetary boundary layer physics, and/or gravity-wave physics within the NOAA Unified Forecast System framework
- Examine the impact of parameterizations for modeling dominant modes in the upper atmosphere such as the Quasi Biennial Oscillation (QBO), the Semiannual Oscillation (SAO) and Sudden Stratospheric Warmings (SSW)
- Expand on current stochastically perturbed parameterization tendencies (SPPT) and stochastic kinetic energy backscatter (SKEB) schemes to improve probabilistic representations of the atmosphere using ensembles
Scientific advancements achieved over the course of this work will directly benefit operational environmental predictions on time scales of hours to months.
Logistics: This is a 1-year postdoctoral research associate appointment, renewable for a second year. 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.
- A PhD degree in atmospheric or oceanic science, applied mathematics, physics, scientific computing / computational science, computer science, or a related discipline
- Expert knowledge of physics parameterizations for atmospheric models
- 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
For more details