Post Doc Res Assoc or Research Scientist Associate - Atmospheric Science

UW Candidate Experience

88d

About The Position

The University of Wyoming department of Atmospheric Science is seeking to fill two postdoctoral/associate research science positions in one of the following fields: Aerosol cloud interactions, cloud radiative effect and cloud feedback, atmospheric chemistry, extreme weather events, or planning observational deployments. The hired candidate will join an existing team to work on the Perturbed parameter ensemble Regression Optimization Center for Earth system model Evaluation and Development (PROCEED) project. PROCEED is a Department of Energy (DOE) supported initiative at the University of Wyoming and University of Hawaii at Manoa focused on reducing uncertainty in Earth System Model (ESM) predictions at the seasonal to decadal scale. Earth System Models need to be able to predict environmental change decades into the future at a global scale, but many of the processes that dominate prediction uncertainty operate at a scale of micrometers and seconds, like chemistry, aerosols, clouds, and precipitation. To tackle this problem, we have to develop parameterizations to represent these phenomena within global models. PROCEED leverages the University of Wyoming allocation on the NCAR-Wyoming supercomputer Derecho to probe uncertainty from parameterized processes in the DOE Energy Exascale ESM (E3SM). Using state-of-the-art, process-level constraint from the DOE Atmospheric Radiation Measurement (ARM) program, PROCEED will work with Pacific Northwest National Laboratory, Lawrence Livermore National Laboratory, and the UW School of Computing to better understand the Earth system and improve seasonal-to-decadal predictability. Within this collaboration, University of Wyoming is focusing on developing novel perturbed process ensembles (PPEs) in E3SM while University of Hawaii at Manoa uses large eddy simulations to better understand how ARM observations can be used to confront, constrain, and understand global environmental predictability in E3SM.

Requirements

• A Doctoral Degree is required for the Postdoctoral Scholar position, or a MS Degree for the Associate Research Scientist position.
• A publication in the peer-reviewed literature relevant to one of the focus areas listed above for Postdoctoral Scholar.
• Four publications in the peer-reviewed literature relevant to one of the focus areas listed above for Associate Research Scientist.

Nice To Haves

• Strong programming skills (knowledge of Python preferred).
• Basic knowledge of machine learning.
• Proficient oral and written English communication skills.
• Ability to write high-quality peer-reviewed publications.
• Highly driven and self-motivated individuals.
• Experience with Earth System Models.
• Experience with observations of the atmosphere that are relevant to ARM.
• Record of research (as expressed by publications) in one or more of the PROCEED focus areas listed above.
• Postdoctoral research experience for Associate Research Scientist.

Responsibilities

• Publish in peer reviewed journals.
• Present results at nationally/internationally recognized conferences.
• Create, share, and archive reproducible and robust code.
• Participate in group activities.
• Collaborate with other researchers.
• Contribute to writing proposals.

Benefits

• Generous Retirement Contributions: The State contributes 14.94% of your gross salary, and you contribute 3.68%, totaling 18.62% toward your retirement plan.
• Exceptional Health & Prescription Coverage: Enjoy access to medical, dental, and vision insurance with competitive employer contributions.
• Paid Time Off: Benefit from ample sick leave, paid holidays, and paid winter closure.
• Tuition Waiver: Employees and eligible dependents can take advantage of tuition waivers.
• Wellness and Employee Assistance Programs: Stay healthy with wellness initiatives, counseling services, and mental health resources.

What This Job Offers

• Career Level: Entry Level
• Education Level: Ph.D. or professional degree
• Number of Employees: 11-50 employees