A call is open from Apr 29, 2022 to May 30, 2022 (14:00 CEST) for two three-year post-doctoral positions at the POSTGEN Luiss unit (see the POSTGEN project description and the people involved in the project):
- Profile description for CALL #67 – Theory and management
The selected postdoctoral researcher will be in charge for specific tasks related to the project work package dedicated to the elaboration of the theoretical framework, as well as for tasks related to overall project management (project scheduling, coordination across project units and WPs, organization of events, etc.).
The ideal candidate has:
- a background in empirical social research with a quantitative approach;
- at least some familiarity with classic and recent literature in the fields of: political attitudes and behavior; party competition; the effects of (mainstream and social) media on political attitudes and behavior; generational dynamics;
- at least some familiarity with quantitative analysis of social science data at various levels (individuals, parties, media);
- at least some familiarity with common data analysis software/programming languages (Stata, R);
- some record of scientific publications;
- some previous participation to international research projects.
- teamwork experience;
- some experience in the organization of events;
- some experience in organizational activities related to a research group.
The selected researcher will actively cooperate with the project team, and will be offered the possibility of a fully-fledged research experience within the POSTGEN project, including full participation to research activities and to the dissemination of the project, ranging from participation to international conferences to significant opportunities for scientific publications on international journals.
2. Profile description for CALL #66 – Social Media
The selected postdoctoral researcher will be in charge for specific tasks related to the project work package dedicated to social media, in terms of both data collection and quantitative analysis.
The ideal candidate has:
- a background in empirical social research with a quantitative approach;
- familiarity with manual and automated collection of social media data (including access to social media APIs);
- familiarity with quantitative analysis of social media data, both with human coding and with algorithmic (supervised and unsupervised) approaches;
- familiarity with common data analysis software/programming languages (Stata, R, Python);
- some record of scientific publications;
- some previous participation to international research projects.
The selected researcher will actively cooperate with the project team, and will be offered the possibility of a fully-fledged research experience within the POSTGEN project, including full participation to research activities and to the dissemination of the project, ranging from participation to international conferences to significant opportunities for scientific publications on international journals.
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