Johns Hopkins University
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Fully Funded PhD in Climate Intelligence, AI Weather/Climate Emulators, and Hydroclimate at Johns Hopkins University Johns Hopkins University in United States
Degree Level
PhD
Field of study
Computer Science
Funding
2 fully funded PhD positions are advertised.
Country
United States
University
Johns Hopkins University

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About this position
Johns Hopkins University (Baltimore, MD, USA) is advertising 2 fully funded PhD positions in the Climate Intelligence Lab in the Department of Environmental Health & Engineering, Whiting School of Engineering.
The projects focus on AI weather/climate emulators, seasonal-to-subseasonal (S2S) prediction, Western US hydroclimate, wildfire, drought, streamflow, and causal predictive models. The lab works with large climate datasets, Linux systems, historical observations, and climate models, making this a strong fit for students interested in computational climate science and data-driven environmental research.
The positions are led by Prof. Karen McKinnon and are described as an in-person, collaborative group. Preferred preparation includes a BS/BA in Atmospheric/Climate/Earth Science, Computer Science, Applied Mathematics, or Statistics, plus strong quantitative skills and Python.
Funding is described as fully funded. The post says to apply via the Environmental Engineering program at the Whiting School and to indicate project preference. The start term is Fall 2027.
Funding details
2 fully funded PhD positions are advertised.
What's required
Applicants should have a BS/BA in Atmospheric Science, Climate Science, Earth Science, Computer Science, Applied Mathematics, or Statistics, with strong quantitative preparation and Python skills. The post emphasizes experience or interest in large climate datasets, Linux systems, historical observations, and climate models. The positions are in-person and collaborative.
How to apply
Apply through the Environmental Engineering program at the Whiting School of Engineering and indicate your project preference. Follow the program application process for the PhD opening.
More information can be found here
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