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Abstract Supply of manpower is one of the main tasks of human resource management in each organization and other management tasks will be done correctly when the competent manpower exist. Due to the importance of manpower in organizations, the main purpose of this study is to identify the bases for attraction of manpower in the Medical Science University of Birjand city. Introduction Universities, as the main centers of knowledge production, research and science, are important in every community and play a significant role in the development of each region. Accordingly, they require planning for the recruitment of specialized workforce. Therefore, identifying the factors that encourage knowledge workers to join the organizations is crucial. There is only a handful of studies that focused to this issue specially in Iran and this study is first to investigate it on a university context. Case study The population of this study is employees of Medical Science University of Birjand City     Materials and Methods Using judgmental sampling, 143 of employees of Medical Science University of Birjand City were selected as sample of study. The is an applied study that used descriptive - survey method. In order to evaluate the variables on the attraction system of manpower one-sample t-test was used. Discussion and Results The results show, organizational climate, job characteristics, work conditions and environment, have the most favorable status than other variables, and salary and benefits, social responsibility have the least favorable status. The results of this study is in consistent with the findings of other studies (e.g. Uggerslev, et al., 2012; Chapman, & Mayers, 2015; Collins, & Stevens, 2001). Conclusion According to the results of study, it is recommended to senior managers to consider salary and benefits, social responsibility in decision making and determination of manpower recruitment strategies in Birjand University of Medical Sciences more than other variables. Moreover, to generalize the finding of this paper, future studies can use other population such as unemployed people or senior students that plan to join to labor market soon.