A one-year post-doctoral position is open in the framework of the OpLaDyn project.
The selected candidate will collaborate with Laura Hernandez and Dimitris Kotzinos of LPTM and ETIS labs, both joint laboratories of the CNRS and Cergy-Pontoise university.
By analyzing large bases of textual data, we aim at extracting patterns of relevant information, in order to construct data-based models of opinion formation and evolution. This implies addressing, among others, the following questions: How can relevant information be obtained from the Big Data sources at disposal in order to build data-based models of opinion dynamics? What is the role of the metadata in this endeavor? How can one infer the network of social contacts on the basis of these data? How can one capture opinion dynamics? Which parameters characterize the dynamical process? How these parameters depend on the type of media where opinion diffuses? More specifically, we are interested in understanding how scientific topics of high societal impact migrate from the channels restricted to scientists to the public media and how this diffusion contributes to fashion the public opinion on those particular topics. The focus of the research work will also be influenced by the profile of the selected candidate.
For more details and application procedure click here .