Fudan University and Princeton University have established a joint Postdoctoral Fellowship Program: Fudan-Princeton Postdoctoral Program (FPPP), aimed at training highly-qualified, early-career postdoctoral researchers in studies of Chinese economics and society problems using big data so that they are positioned to become leaders in their respective academic fields. The Paul and Marcia Wythes Center on Contemporary China at Princeton University and Fudan University School of Data Science invite applications for two postdoctoral research associates in studies of contemporary China.
IMPORTANT: Refer to the full instructions on this page before applying.
If you have questions, also refer to the FAQs: https://ccc.princeton.edu/postdocfaq
Each fellowship is expected to be awarded for up to two years: one year at Princeton University and one year at Fudan University. The position is to have the first 12 consecutive months at Fudan, and the next 12 consecutive months at Princeton University. The position may be renewed after the first year contingent on satisfactory performance. Preferred start date is September 1, 2019. The position is open to early-career scholars who would be in residence and participate in the host organization’s activities, including student-faculty seminars, workshops, and public lectures. The position is primarily open to data science-relevant disciplines, but it can be open to any discipline, as long as the fellow conducts research on contemporary China and big data under the guidance of faculty at both Universities. The candidate’s research must be supervised by a faculty member at each University and, as such, must receive the endorsement of a faculty member at each institution in order to apply.
For the stay at Fudan University School of Data Science:
During their stay at Fudan, Postdoctoral Fellows will receive a salary of no less than 200000 RMB/year and university housing at favorable pricing will be provided. The fellows will also be eligible to apply for travel funding from external sources.
For the stay at Princeton University Paul and Marcia Wythes Center:
For the 12 months in residence at Princeton, each fellow will be appointed at the rank of Postdoctoral Research Associate with a monthly salary of 5,000 (60,000/year) US dollars, which will be provided by Princeton, including a one-time relocation allowance of up to 2,000 US dollars. Further, each fellow will be eligible to apply for travel funding, have access to resources at the Paul and Marcia Wythes Center on Contemporary China, and be eligible for employee benefits provided by Princeton. During the appointment at Princeton, the postdoctoral researcher will hold visiting status at Fudan University School of Data Science.
Eligibility and Evaluation Criteria:
The fellowship is open to highly qualified researchers of all nationalities who received their Ph.D. no more than two years prior to the start of the appointment. The program is open to both internal and external candidates who are interested using big data technologies to study issues regarding contemporary Chinese economics and society. Examples of appropriate research topics include, but are not limited to: measuring and understanding systemic risks of financial and economic systems; developing financial technologies and their associated regulations; developing credit rating and modeling in macro finance; optimizing energy distributions and usages; studying health costs and biological processes and measurements; developing more reliable measures of China’s national and regional economies; understanding economic mechanisms and consequences of China’s real estate boom; and developing an integrated framework for analyzing economic and financial risks in China. Applicants holding tenure or tenure-track faculty positions are not eligible to apply.
Selection is based on the academic excellence of the applicant, the quality of the proposed research project, compelling demonstration of the anticipated synergy of the appointed postdoc, and the commitment of the respective hosts at both universities. The research proposal should include information on how the project will benefit from the research environments of both institutions.
Requirements and Opportunities:
- Successful applicants must provide a 10-page report on their research and experience in the Postdoctoral Fellowship after completion of the two-year program.
- Fellows are encouraged to publish together with their hosts at Fudan and Princeton.
To apply for a postdoctoral position, please go to https://puwebp.princeton.edu/AcadHire/apply/index.xhtml, requisition number: D-19-PII-00007. This position is subject to the Universities’ background check policy. All application documents must be prepared in English and include the following:
- A research proposal and time plan (max. 10 pages in total, including tables/figures and references);
- Concise Curriculum Vitae (max. 4 pages in total);
- Two recommendation letters (including one from the applicant’s doctoral supervisor);
- Endorsements from a potential supervisor at each of the two universities; and
- One writing sample (not to exceed 10MB).
Incomplete submissions will not be considered.
Application deadline: May 1, 2019 by 11:59 p.m. EST.
If the applicant has any questions about the process and documentation, please refer to the program FAQs, here: [LINK]
Applicants may also contact the Administrative Coordinators:
Ms. Chang Yu Ms. Yan Bennett
School of Data Science Paul and Marcia Wythes Center on
Fudan University Contemporary China
email@example.com Princeton University
- Please direct all further inquiries to the coordinators of the program stated above.
- More information about the Paul and Marcia Wythes Center on Contemporary China can be found at https://ccc.princeton.edu/.
- Princeton University is an Equal Opportunity/Affirmative Action Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law.