The Science Fellow will conduct an interdisciplinary, two-year project examining the energy, emissions, and equity impacts of AI-driven data center expansion. Using a mixed-methods approach including data analysis, corporate document review, and policy mapping, the fellow will produce publicly accessible, scientifically rigorous research that studies if AI's energy demands are being shaped by corporate profit rather than public need, and if fossil fuel interests are partnering with tech giants to lock in fossil fuel infrastructure. The Fellow will communicate findings both internally and externally to empower regulators, advocates, and communities with evidence.
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Job Type
Full-time
Career Level
Mid Level
Education Level
Ph.D. or professional degree