Center on Frontiers of Computing Studies (CFCS), Peking University is seeking summer student research assistants to contribute a range of projects aimed to bring quantitative rigor and analysis to financial and investment policymaking. Research projects include adopting Machine Learning, Blockchain as well as AI methods for solving financial issues. Our work has been published in high-profile academic conference and journals.
Student research assistants (RAs) contribute to all levels of our work, from research and writing to data analysis, visualization, and design. You will work collaboratively with full-time research staff, the faculty director, other students, and external partners all around the world. Student RAs receive training in data-driven approaches to financial issues, which involve statistical data analysis, quantitative research, and writing for policy audiences.
Strong organizational, interpersonal, communication, programming, and analytical skills are required, as are excellent writing skills. Must be a self-starter and independent worker. Proven research skills strongly preferred, with a particular emphasis on scientific research and an ability to convey scientific concepts to the general public. Pay will be at established CFCS rates.
Please submit your resume to firstname.lastname@example.org.