Atmospheric Sciences - Postdoctoral Researcher

Job Description

We have an opening for an Atmospheric Science-Postdoctoral Researcher to work in the areas of clouds and precipitation with the goal of improving performance of global storm‑resolving models through evaluation and diagnosis using Department of Energy Atmospheric Radiation Measurement program observations. Research topics may include the mechanistic understanding of clouds, convection, precipitation, and land‑atmosphere interactions.

This is a two‑year Postdoctoral appointment with the possibility of extension to a maximum of three years.

This position is in the Atmospheric, Earth, and Energy Division which is part of the Physical and Life Sciences Directorate.

• Conduct research on the processes governing the transitions in boundary layer turbulence, clouds, convection, precipitation, and land‑atmosphere interaction.
• Diagnose and improve global storm‑resolving models using ground‑based and satellite observations and machine learning.
• Perform modeling tasks using cloud‑resolving models or large‑eddy simulations.
• Contribute to and actively participate in the conception, design, and execution of research to address defined problems.
• Pursue independent (but complementary) research interests and interact with a broad spectrum of scientists internally and externally to the Laboratory.
• Collaborate with others in a multidisciplinary team environment to accomplish research goals.
• Publish research results in peer‑reviewed scientific or technical journals and present results at external conferences, seminars, and/or technical meetings.
• Travel as required to coordinate research with collaborators.
• Perform other duties as assigned.

• PhD in Atmospheric Sciences or a related field.
• Experience and expertise in one or more of the following areas: cloud microphysics, turbulence and cloud schemes, convective‑scale modeling, observational analysis, machine learning.
• Ability to perform as an innovative experimentalist with a broad range of experience in experimental design, techniques, and execution.
• Experience developing independent research projects, including publication of peer‑reviewed literature.
• Proficient verbal and written communication skills to collaborate effectively in a team environment and present and explain technical information.
• Effective initiative and interpersonal skills and ability to work in a collaborative, multidisciplinary team environment.

• Experience with deep learning and emulation.
• Experience with subgrid‑scale parameterization development.
• Experience with C++ programming environment.
• Experience with land processes and earth system modeling.

$123,048 Annually

This is a Postdoctoral appointment with the possibility of extension to a maximum of three years, open to those who have been awarded a PhD at the time of hire.

• Included in 2026 Best Places to Work by Glassdoor!
• Flexible Benefits Package
• 401(k)
• Relocation Assistance
• Education Reimbursement Program
• Flexible schedules (depending on project needs)
• Our values – visit https://(Use the "Apply for this Job" box below).-values

None required. However, if your assignment is longer than 179 days cumulatively within a calendar year, you must go through the Personal Identity Verification process. This process includes completing an online background investigation form and receiving approval of the background check.

The 2025 National Defense Authorization Act (NDAA), Section 3112, generally prohibits citizens of China, Russia, Iran, and North Korea without dual U.S. citizenship or legal permanent residence from accessing specific non‑public areas of national security or nuclear weapons facilities. The restrictions of NDAA Section 3112 apply to this position. To be qualified for this position, candidates must be eligible to access the Laboratory in compliance with Section 3112.

External applicant(s) selected for this position must pass a post‑offer, pre‑employment drug test. This includes testing for use of marijuana as federal law applies to us as a federal…