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The Stanford Digital Economy Lab seeks a Postdoc to study AI and the economic implications of aging populations in collaboration with the Stanford Center for Longevity (SCL).
The position will have priority projects, led by Professor Brynjolfsson, as well as the opportunity to work with other faculty, fellows, and PIs on additional topics. We will explore the economic implications of shifting population demographics (especially with regard to aging, AI technology and the workforce); create and test large-scale, AI-powered macroeconomic simulations; and analyze data from retired populations for potential economic policy scenario planning. One project could look at the motivations and time use of people, such as retirees, who no longer need to work for money, and draw lessons for a world with less need for human labor.
In addition to the priority projects, the postdoctoral associate will have the opportunity to work with other researchers at Stanford. High-level topic areas include: the effects of technology on skills and wages, mega-scale digital experimentation, platform business model economics and governance, behavioral economics, social prediction, and others. Our research projects balance rigor and relevance, aiming to produce papers for top academic journals while also informing policy and practice through other contributions.
Highly motivated postdoctoral researcher with extensive experience as follows;
- Deep experience with building and calibrating complex agent-based models.
- Experience in econometrics, tax policy, or discrete time macroeconomics.
- Experience in reinforcement learning/AI applications in economics preferred.
- Experience with research in economics of aging is preferred.
- Experience with Overlapping Generations (OLG) Models preferred.
Must be able to work well with academics and industry executives alike. English language skills (verbal and written) must be strong. PhD in a Management Science or Economics field with the Doctorate conferred prior to start date.
- Curriculum Vitae
- Cover letter
- Names and email addresses for three references (optional)
- Key papers that demonstrate your research agenda