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Computer Science at Princeton University, with the goal of developing next-generation machine-learningâ“based interatomic potentials (MLPs) for Earth and planetary materials across extreme pressureâ“temperature
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mitigation, climate and energy, climate change, disease and health, climate justice, cities and the environment, earth history, ecology and ecosystem science, environmental chemistry and microbiology
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on solid-state defects is advantageous. Strong scientific communication skills, including peer-reviewed publications and presentations. Proven ability to work effectively in interdisciplinary teams spanning
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eligible) Pursuing a degree in the atmospheric or related sciences at a US accredited institution. Have a minimum grade point average of 3.0 on a 4.0-point scale. U.S. citizens or hold permanent resident
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students. The program provides selected students with exposure to Earth and space research. Interns will learn how to interpret NASA satellite data while working with scientists and engineers in their chosen
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currently pursuing a degree in Physical Sciences including but not limited to Agro-Sciences, Astronomy, Chemistry, Earth Sciences, and Physics; or in the Life Sciences including but not limited to Anatomy