Postdoctoral Fellow in Environmental Studies: Clean Energy Policy and Generative AI

Job description

Description The Wilson group in the Department of Environmental Studies (ENVS) at Dartmouth College invites applications for a postdoctoral fellow to join an interdisciplinary team developing “expert in the loop” research workflows that combine generative AI (GenAI), domain expertise, and qualitative methods to address information overload and emerging institutional risks in energy policy and governance. This position offers the opportunity to develop and test new methods and tackle critical challenges in clean energy transitions. It is partially supported by grants connecting social science, computer science, and energy-policy expertise. The fellow will create and evaluate approaches that use large language models (LLMs) to scale qualitative analysis of policy, regulatory, legal, and stakeholder documents in replicable ways. These methods will be applied to contested clean energy areas such as offshore wind, transmission, and battery storage. The fellow will be advised by Professor Elizabeth J. Wilson, working closely with Simon Stone from Dartmouth Research Computing and partners at DTU Wind in Denmark. The team emphasizes open, collaborative, and actionable research on real worl...