[Commlist] Postdoctoral Fellow, AI-enabled Scams as Systemic Security Challenge

Data & Society seeks a qualitative post-doctoral research fellow for 
AI-Enabled Scams as a Systemic Security Challenge, a two-year project 
housed under our AI & Democracy initiative and led by Director of 
Research Dr. Alice Marwick. The position is fully remote, begins 
September 2026, and runs through May 31, 2028.

This project examines how AI is supercharging scams and frauds, with a 
focus on young people's (Gen A/Z) susceptibility and how trust, 
legitimacy, and risk are constructed online. We are especially 
interested in youth financial cultures—cryptocurrency, MLMs, sports 
betting, memestocks, drop-shipping, "hustle and grind" culture—and how 
they reshape understandings of financial opportunity and risk. The 
fellow will conduct interviews and focus groups (with people harmed by 
AI-enabled scams, and youth in risky financial subcultures) and 
qualitative discourse/content analysis of scam materials. Roughly 30% of 
time is reserved for the fellow's own research agenda.

We welcome candidates with a PhD (completed before the start date) in 
communication, media studies, information studies, sociology, STS, 
anthropology, economic sociology, critical cybersecurity studies, youth 
studies, or a related field, with strong empirical qualitative training 
and experience recruiting study participants. Tech policy experience is 
a plus. Candidates must be living and authorized to work in the U.S.; we 
cannot sponsor visas.

Apply by July 15, 2026. Full posting and application instructions: 
https://job-boards.greenhouse.io/datasocietyresearchinstitute/jobs/8598064002 
<https://job-boards.greenhouse.io/datasocietyresearchinstitute/jobs/8598064002>

Questions: (jobs /at/ datasociety.net) <mailto:(jobs /at/ datasociety.net)>

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