This research is based on three northeastern double first-class polytechnic universities. A total of 1628 science and engineering graduate supervisors’ resumes were referred to from an official website by the random sampling method, of which only 500 supervisors were included in consideration of complete information, key events, and time in terms of the educational background (undergraduate school, graduate school, doctoral school, number of masters, number for Dr.), early work background (number of postdocs, number of overseas visits, numbers of research work), and the growth rate (period from graduation to associate professor title). The higher education background and early work background were defined as early experience, and the database of these 500 science and engineering graduate supervisors with complete resume information from three double first-class universities in northeastern China was established. In this study, the growth rate of the growth period was divided into two at the critical period: the growth rate of the graduate supervisor to associate professors. Through stepwise multiple regression analysis, it was found that higher education background (undergraduate schools, graduate schools, doctoral schools, as well as the number of master’s and doctorate degrees) as well as early work background (number of postdoctoral work, research work, and overseas visits) have a significant impact on the growth rate of graduate supervisors to associate professors.
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