Development Of Cloud Models Using Artificial Intelligence

Description Description: The representation of clouds in atmospheric models constitutes a major source of uncertainty in climate predictions. This is not only because of their complexity and gaps in our understanding of cloud physics, but also because of the scale at which many of the processes affecting clouds occur. This project seeks to develop artificial intelligence (AI) models of cloud physics using major datasets maintained at The NASA Global Modeling and Assimilation Office. These include climate reanalyses, long term reforecasts, satellite retrievals and global kilometer-scale atmospheric simulations. The AI models would be implemented in global climate models to enhance NASA's climate forecasting capabilities and investigate scientific questions on the interaction of human activities and climate.
Field of Science: Earth Science Advisors: Donifan Barahona


Applications with citizens from Designated Countries will not be accepted at this time, unless they are Legal Permanent Residents of the United States.  A complete list of Designated Countries can be found at:  .  
Eligibility is currently open to:
U.S. Citizens;
U.S. Lawful Permanent Residents (LPR); 
Foreign Nationals eligible for an Exchange Visitor J-1 visa status; and,
Applicants for LPR, asylees, or refugees in the U.S. at the time of application with 1) a valid EAD card and 2) I-485 or I-589 forms in pending status
Qualifications Climate modeling
STEM background
Familiarity with machine learning models
Good oral and written communication skills 
Eligibility Requirements Degree: Doctoral Degree. How to Apply All applications must be submitted in Zintellect