The Environmental Science (EVS) Division conducts basic and applied research and assessments that seek to understand how natural and human-managed environmental systems function and how system components respond to various perturbations. Ths division studies the environmental effects of conventional and renewable energy development and use. Argonne National Laboratory through the EVS Division staff, operates the Atmospheric Radiation Measurement (ARM) Climate Research Facility Southern Great Plains site for the U.S. Department of Energy’s Office of Science.
Argonne is seeking a postdoctoral appointee to work as part of a team using radar data to validate and improve the next generation of climate models. The primary focus will be on performing a long-term analysis of the data collected by the vertically pointing and scanning cloud and precipitation radars (supported by other sensors) at the ARM sites.
Successful candidates will be expected to apply and refine novel algorithms to retrieve microphysical and dynamical variables. The ultimate goal of the project is to gain insights on the feedbacks between large-scale forcing and local-scale convective weather. You are expected to have a good grasp of dynamical meteorology, cloud and precipitation microphysics, and advanced understanding of radar meteorology.
High order analytic and computational skills are desired, as is a competency in, or readiness to learn, the Python programing language. You will be expected to contribute code to the open source Python-ARM Radar Toolkit or other community codebases as well as working with other investigators from national laboratories and universities working under the DOE Climate and Environmental Science Division.
Position requirements:
- Considerable knowledge of convective scale dynamics and microphysics.
- Considerable skills in working with scanning radar data. Preferably at C- and S-Band wavelengths.
- Considerable analytical abilities including working with large data sets (and willingness to learn Python).
- Some knowledge of the workings of convective parameterizations in climate models.
- Some exposure to radiative transfer and radiometry.
- Good communication and collaborative skills.
- Experience with version control systems (Git) and social coding (GitHub) is desirable.
- Some experience mapping problems to large computational frameworks is desirable (e.g., Python Multiprocessing or Jupyter clusters, Cassandra databases, etc.)
- A keenness to learn and a sense of excitement about meteorological and weather phenomena are essential.
- A PhD in meteorology, atmospheric science, applied mathematics, computer science, engineering, or a related field.
To apply, go to the Argonne postdoctoral applicant web page.
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