Postdoc in Automated Media and Publics

This position as a Postdoctoral researcher in Automated Media and Publics requires advanced expertise in media studies, automation technologies, and their intersection with public communication. The role demands a deep understanding of automated media systems, including algorithmic content generation, automated journalism, and digital public spheres. Candidates should possess strong analytical skills to explore how automation influences media production, distribution, and public engagement. Proficiency in qualitative and quantitative research methods is essential, as is the ability to design and conduct empirical studies on media automation and its societal impacts. Familiarity with programming languages or tools relevant to media automation, such as Python, R, or machine learning frameworks, may be advantageous. The position expects a high level of academic rigor and the ability to contribute to interdisciplinary research teams, collaborating across fields such as communication, computer science, and sociology. Excellent written and oral communication skills are necessary for publishing research findings and presenting at academic conferences. While specific experience and education levels are not detailed, the postdoctoral nature of the role implies a completed doctoral degree in a relevant discipline and a strong publication record. Overall, the ideal candidate combines theoretical knowledge of media and publics with practical skills in automated technologies and research methodologies to advance understanding of automated media's role in society.