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Dear all,
Excuse me for cross-posting. Please share with students you know could be a good fit with this.
The STS-group at the Department of Sociology and Work Science is seeking a doctoral student in sociology to work within the research area of sustainability and AI. The position is based at the department and is also part of the national WASP-HS Graduate School. It will be included in the research environment surrounding the project “In the Eye of the Storm: Climate Adaptation in Times of Increasing Polarization and Disinformation”, which involves close collaboration with Professor Martin Hultman and Associate Professor Anton Törnberg at the department.
Doctoral student in sociology - sustainability and AI
This doctoral project investigates how sociotechnical imaginaries of AI and environmental sustainability are shaped, disseminated, and contested—and how these imaginaries reflect and reinforce specific values, priorities, and assumptions. Some actor networks portray AI as a catalyst for ecological sustainability through increased efficiency, while others highlight the high resource and energy consumption of AI systems and warn against greenwashing—i.e., using rhetoric about environmental benefits to obscure the technology’s negative environmental impact.
The doctoral project will explore how these conflicting sustainability claims are produced, legitimized, and circulated by key actors such as tech companies, AI developers, policymakers, and media. The project analyzes how visions of AI and sustainability—as either climate solutions or environmental threats—are co-produced and gain traction in governance strategies, funding structures, and corporate sustainability agendas. A particular focus is placed on how these imaginaries are unevenly distributed across different geopolitical contexts and how they relate to broader narratives of ecological modernization, planetary boundaries, welfare economies, and digital utopianism.
Possible methods include discourse, narrative, and argument analysis of public statements, reports, media, and policy documents; interviews with key actors shaping AI sustainability agendas; and mapping of international frameworks for AI governance and sustainability. As the project may involve the collection and analysis of extensive digital data, quantitative text analysis methods such as Natural Language Processing (NLP) and Large Language Models (LLM) may also be relevant.
Tack på förhand!
Martin
Fortcoming books:
Överlevnad. Naturens rättigheter, Planerad nerväxt och Ekologiska maskuliniteter i slutet av Antroprocene. Daidalos
Survival. Rights of Nature, Degrowth & Ecological Masculinities at the End of Anthropocene. Vernon Press
New book:
Climate Obstruction. Routledge https://www.routledge.com/Climate-Obstruction-How-Denial-Delay-and-Inaction-are-Heating-the-Planet/Ekberg-Forchtner-Hultman-Jylha/p/book/9781032019475
Rights of Nature:
Ecological masculinities
Center for Studies of Climate Change Denial
Find more about my research here: