Postdoctoral Researcher in Computational Text Analysis – Carl von Ossietzky Universität Oldenburg

Organismo: Carl von Ossietzky Universität Oldenburg
Requisitos:
- A completed scientific university degree (diploma/master) and a doctorate in a relevant field (e.g. political science/ political theory, sociology/ social theory, philosophy, communication, computer science, or related areas), completed or to be completed by the time of appointment
- Strong interest in the interdisciplinary research themes of the SCEPTIC research group
- Sound knowledge and experience in empirical research and quantitative methods and programming in R, Python, or similar tools; experience with computational text analysis, natural language processing (NLP), or related techniques
- Sound knowledge of theoretical foci relevant to the research group, for example theories/ philosophies of digital (dis-)information, affect theory, theories of (algorithmic) polarization and radicalization, theories of digital publics/ digital networks, theories of information environments/ ecologies, or theories of (dis-)trust (or similar)
- A theory-informed approach to the study of democracy, political legitimacy, trust
- Strong interest in digital trace data, political communication, or algorithmically mediated information environments
- Successfully published or about to be published peer-reviewed articles in international journals in research areas of the research group
- Very good command of written and spoken English; good written and oral communication skills and a strong ability to present complex issues in a comprehensible way
- Basic knowledge of German and/or the willingness to improve these skills
- A self-reliant, goal- and result-oriented work attitude, excellent coordination skills and strong ability to work in a team
Solicitudes:
Please send your application via e-mail and include:
- Cover letter detailing research interests and motivation for applying
- CV including list of publications (and teaching experience if applicable) and information for two academic references
- Up to two writing samples (published or unpublished, preferably single-authored or with clearly indicated individual contributions using AuthorCredits)
- Copies of academic transcripts
Plazo de presentación: Hasta 12/11/2025 (Susceptible a error de cálculo, comprobar siempre)
Si te presentas a esta convocatoria y consigues este empleo infórmanos para llevar un control de la utilidad de este servicio: ¡GRACIAS!

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