38 days ago on apply.refline.ch

Postdoctoral research position studying social network through time 100%

ETH Zürich

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 Please refer to JobSuchmaschine in your application

Postdoctoral research position studying social network through time 100%


The Chair of Social Networksat the Department of Humanities, Social and Political Sciences, ETH Zurich, studies the formation and structure of social networks by combining research approaches from the social sciences and statistics. We employ modern data collection practices and develop statistical methods and scientific software with the aim of answering social science research questions and contributing to the social science literature. We invite applications for a

Postdoctoral research position studying «social network through time»
The postdoctoral research projectwill investigate the dynamics of social networks from a multidisciplinary perspective. Details of the project will be developed with the successful candidate. It may involve the development and testing of social network theory, planning and conducting of network data collection, development and application of statistical methods and scientific software.
We offer an inspiring research environment at one of the world's top universities and close collaboration in a small, young research team that is part of a leading international network of social networks researchers. The position is fully-funded for two years. Preferred starting date is early 2017.
Successful candidateswill have strong interest in contributing to the social science literature and hold a PhD in sociology, political science, social psychology, statistics, or computer science (or a related field) and have experience in social network methods and their application to social science research problems. The applicant must be fluent in English. Experience in the following fields will be considered a plus: Social Network theory; Sociological Theory, Analytical Sociology; Advanced understanding and / or development of statistical network models; Survey-based or social sensor-based social network data collection; Advanced experience using R and developing R packages.
For further informationplease contact Christoph Stadtfeld by email christoph.stadtfeld@ethz.ch(no applications) and visit our website www.social-networks.ethz.ch.

Applicationswith a letter of motivation, a CV, a one-page statement of research interests and how they relate to prior and ongoing work of the research group, a first-authored paper or thesis chapter that best represents your research profile, and contact details of three referees should be submitted online to: ETH Zurich, Mr. Olivier Meyrat, Human Resources, CH-8092 Zürich.

Applications via email cannot be considered.

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