Post-Doctoral Fellowship in Social Network Dynamics
Post-Doctoral Fellowship in Social Network Dynamics
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1 Vacancy
Job Description
The Department of Statistics and Data Science and the Institute for Complex Social Dynamics at Carnegie Mellon University invite applicants for a twoyear postdoctoral fellowship in social network dynamics. The fellow will work with Prof. Nynke Niezink of the department on developing theory statistical methodology and applications of models for longitudinal network data with a particular emphasis on socialscientific problems connected to the work of the Institute. Apart from by the supervisor the fellow will also be mentored by other faculty in the department and the ICSD depending on their interests and secondary projects and will get individualized training in both technical and nontechnical professional skills.
Successful applicants will have completed a Ph.D. in Statistics or a related quantitative discipline by September 2025 and ideally have a strong background in statistical network analysis good programming skills (e.g. in R Stan or interfacing R with C/C and strong communication skills.
Employment Type
Grant
