We are hiring a PhD student to work on statistical models for
relational event data. Please feel free to forward this call to
The Social Networks Lab at ETH Zürich is offering a three-year fully funded PhD position studying «statistical models for relational event data», starting September 2018. Researchers within the Social Networks Lab investigate the structure and dynamics of social networks by combining research approaches from the social sciences, statistics, and computer science with the aim of contributing to the social science literature. The project is embedded in my research group and will be co-supervised by Dr. Viviana Amati.
The PhD project will develop new statistical models for relational event data (time-stamped data of interpersonal interaction or individual behavior) and will demonstrate how those can be used to study traditional social science research questions on a larger scale. The models will be implemented in a scientific software package. The successful candidate will develop the detailed scope of the project within the first year of the PhD in collaboration with a team of supervisors and collaborators.
The deadline for applications is 30 May.
For more information about the call and an application link please visit www.sn.ethz.ch/the-group/open-positions, or contact Viviana Amati or me by e-mail.
-- ETH Zurich Dr. Christoph Stadtfeld Assistant Professor Social Networks Lab Department of Humanities, Social and Political Sciences WEP J 16 Weinbergstrasse 109 8092 Zürich, Switzerland Phone +41 44 632 07 93 [log in to unmask] www.social-networks.ethz.ch Recent publications: Stadtfeld, C; Snijders, T.A.B, Steglich, C. & van Duijn, M.A.J Statistical Power in Longitudinal Network Studies. Sociological Methods & Research, 2018, 1-30. http://journals.sagepub.com/doi/full/10.1177/0049124118769113 Block, P.; Koskinen, J.; Hollway, J.; Steglich, C. & Stadtfeld, C. Change we can believe in: Comparing longitudinal network models on consistency, interpretability and predictive power. Social Networks, 2018, 52, 180-191 http://www.sciencedirect.com/science/article/pii/S0378873317300035 Stadtfeld, C.; Hollway, J & Block, P. Dynamic Network Actor Models: Investigating Coordination Ties through Time. Sociological Methodology, 2017, 47(1), 1-40 http://journals.sagepub.com/doi/full/10.1177/0081175017709295 Stadtfeld, C. & Block, P: Interactions, Actors and Time: Dynamic Network Actor Models for Relational Events. Sociological Science, 2017, 4(1), 318-352 https://www.sociologicalscience.com/articles-v4-14-318/ Hollway, J.; Lomi, A.; Pallotti, F. & Stadtfeld, C. Multilevel Social Spaces: The Network Dynamics of Organizational Fields. Network Science, 2017, 5(2), 187-212 https://doi.org/10.1017/nws.2017.8 Elmer, T.; Boda, Zs. & Stadtfeld, C. The Co-evolution of Emotional Well-being with Weak and Strong Friendship Ties. Network Science, 2017 https://doi.org/10.1017/nws.2017.20_____________________________________________________________________ SOCNET is a service of INSNA, the professional association for social network researchers (http://www.insna.org). To unsubscribe, send an email message to [log in to unmask] containing the line UNSUBSCRIBE SOCNET in the body of the message.