Academy of Statistics and Interdisciplinary Sciences, founded in May 2018 that is a relatively independent research entity, based on statistics and interdisciplinary sciences involving economics and management science, innovatively develops cutting-edge theories and methods of statistical science to promote the development of other related disciplines at the Faulty of Economics and Management. The academy implements the Dean's Responsibility System. ASIS recruits teachers with tenure track.

Available positions:

—— tenure track positions - Assistant/Associate/Full Professor

Requirements:

Applicants must have a doctoral degree in Statistics, Data Science, Biostatistics, Computer Science，Econometrics and Finance，Business Administration, Management Science and Engineering or a closely related discipline. Candidates with research interests in all areas of statistics, data science and insurance are welcome to apply. Primary consideration will be given to candidates with research interests in computational statistics, machine learning, mathematical statistics, biostatistics, insurance, financial engineering,econometrics and financial metrology. Candidates for Full Professor should have a recognized record of methodological research, experience of extramural funding, and demonstrated leadership potential. Candidates for Associate Professor should have a good record of publication and other evidence of research capability. Assistant Professor applicants should provide evidence of methodological and interdisciplinary research potential and should, preferably, have relevant postdoctoral training.

Salary and start-up funding will be commensurate with qualification and experience. Other than regular faculty recruitment, we also provide multiple 'talent plan' options offering competitive packages for excellent candidates. 

To Apply:

Application screening begins immediately and continues until positions are filled. Applicants should send a cover letter, a curriculum vitae, three representative publications, three letters of reference and research and teaching statement to Lin Qian(lqian@fem.ecnu.edu.cn).

Welcome to join us！