Post-Doctoral Fellowship in Social Network Dynamics

The Department of Statistics and Data Science and the Institute for Complex Social Dynamics at Carnegie Mellon University invite applicants for a two-year post-doctoral 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 social-scientific 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 non-technical 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.

Applicants should submit a combined cover letter and statement of research interests (of no more than four pages); a CV listing all their publications; and one paper or dissertation chapter as a PDF. They should also arrange for three letters of recommendation. All materials must be received by 15 December 2024.