The Simons Institute invites researchers from the humanities, social sciences, law, and related disciplines to apply for its newly established Law and Society Fellowship, for the Fall 2020 program on Theory of Reinforcement Learning.
The Law and Society Fellowships enhance Institute programs that address technologies with profound impacts on human society and with implications for ethics, law, and policy, by supporting a researcher within each who is focused on addressing the broader societal implications of the techniques and technologies addressed within these programs.
Law and Society Fellows are expected to participate in the Institute's programs and engage with visiting scientists. Additional contributions typically include: an initial talk on the fellow’s work, for visiting researchers at the Simons Institute; and a white paper on recommendations and findings. Fellows may also be invited to collaborate with the Institute’s film production team on an episode of Theory Shorts, a documentary web series about the topics covered in the Institute’s research programs.
The Law and Society Fellow will hold a shared office in Calvin Lab and have University library access and other standard campus privileges. The position comes with a stipend to cover living expenses.
Junior and senior researchers are welcome to apply. Early-career applicants (postdocs, senior graduate students, and assistant professors) will carry the title of Law and Society Fellow. Senior researchers will carry the title of Senior Law and Society Fellow.
About the Simons Institute
The Simons Institute for the Theory of Computing is the world’s leading venue for collaborative research in theoretical computer science. The Simons Institute brings together the world’s leading researchers in theoretical computer science and related fields, as well as the next generation of outstanding young scholars, to explore deep unsolved problems about the nature and limits of computation. The Institute’s core activities revolve around its semester-long research programs on specific topics in the foundations of computing and related fields. Run by a small group of organizers, a program typically includes 60 to 70 long-term participants (a mix of senior and junior researchers), with additional short-term visitors attending workshops during the semester.
Call for applications
The Simons Institute is currently welcoming applications for one Law and Society Fellowship for the upcoming research program on Theory of Reinforcement Learning (Fall 2020). Candidates should email a letter of interest, CV, three relevant work samples, and names of three references to Peter Bartlett at simonsassociatedirector [at] berkeley.edu, with the subject line “Simons Institute Law and Society Fellowship application.” Applications should be submitted no later than May 31, 2020.