Center for Statistical Science
Tsinghua University, Beijing, China
The Center for Statistical Science of Tsinghua University (TCSS) was established in 2015 and is growing at a fast pace under the leadership of Professors Jun Liu and Xihong Lin from Harvard University and Professor Zhizhong Li from the Industrial Engineering Department of Tsinghua University. An academic committee and an advisory board consisting of world-renowned statisticians have been established to oversee the development of the center. TCSS aims to grow to a world-class research and educational institute in statistics, with a first-rate faculty and educational programs. As a top university in China, Tsinghua University provides an ideal environment for conducting theoretical and applied statistical research with ample opportunities for interdisciplinary collaborations. Faculty receive a generous start-up fund from the university to kick start their research. Tsinghua is also a leading university in China that adopts a tenure system same as in the U.S., which ensures its continuous emphasis on innovation and creativity in research and teaching. All faculty members of TCSS can serve as advisors of Ph.D. students.
TCSS has openings at all ranks (tenure-track Assistant Professor, tenure-track or tenured Associate Professor, and Full Professor) and seeks applicants for these positions in broadly defined areas of statistics (e.g., theoretical statistics, applied statistics, computational statistics, biostatistics, statistical genomics, Bayesian statistics, statistical machine-learning, big data analysis, etc). The salary packages are internationally competitive and commensurate with qualifications. Individuals with a strong research and education background in statistics and biostatistics are particularly encouraged to apply. Successful applicants are expected to join TCSS in the fall semester of 2017. Applicants should have obtained a Ph.D. degree in statistics or closely related fields by the time of appointment. Candidates interested in these positions and wishing to be considered for the Fall 2017 appointment should submit their applications no later than Dec 31st, 2016, using the form below.
Required application documents include a cover letter, curriculum vitae, statement of research interests, a teaching statement, up to three representative papers, and names and contact information for at least three referees, who will provide information for the applicant’s research and teaching qualifications. The applicant for the tenure-track positions is responsible for arranging for three recommendation letters to be sent to email@example.com by Dec 31st, 2016.