Postdoctoral Research Associate in Deep Convective Cloud Process Studies
Brookhaven National Laboratory (BNL) seeks a postdoctoral research associate to participate with a project team toward a goal of improving our understanding of the processes that drive the life cycle of deep convective clouds using observations and modeling. This research will explore the physical reasons and pathways for environmental/aerosol-convection interactions using state-of-the-art observations, analysis techniques, and modeling.
The position requires a PhD in atmospheric sciences or related fields. Expertise in convective cloud processes, a familiarity with aerosol-convection interactions, and/or cloud remote sensing is desirable. Experience with application of machine learning techniques and/or atmospheric modeling at large-eddy or cloud-resolving scales is beneficial. Strong communication skills are essential for engaging with team members, as well as the broader cloud and climate research community. Strong programming skills, such as a familiarity with data analysis software (e.g., Python, IDL, MATLAB, etc.) and handling large data sets, are also recommended.
- a PhD in meteorology, atmospheric science, computer science, engineering, or a related field.
- demonstrated experience in understanding processes that control clouds and/or aerosol-cloud interactions.
- solid communication, programming, and collaborative skills.
- a familiarity working with remote sensing instrumentation for clouds and precipitation, for instance, cloud radar, scanning weather radar, and other surface instrumentation such as that operated by DOE (e.g., ARM), NASA, and/or NOAA agencies.
BNL is located on Long Island, New York, about 60 miles outside New York City, and is an equal opportunity employer.
For more information and to apply, view the posting on the Brookhaven National Laboratory website.