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Claes de Vreese

University Professor, Director DDC SDU

University of Amsterdam

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Denmark

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Research Interests

Media Studies

10%

Artificial Intelligence

10%

Trust

10%

Communication Studies

10%

Computer Science

10%

Authenticity

10%

Positions1

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Claes de Vreese

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University of Amsterdam

PhD and Postdoc Positions in AI, News Ecosystem, and Trust

The University of Amsterdam is inviting applications for multiple PhD and Postdoc positions as part of the interdisciplinary research project "AI in the News Ecosystem: Navigating Trust and Authenticity" (AINATA). This project investigates the impact of artificial intelligence on trust and authenticity within the news ecosystem, focusing on both news production and consumption, and evaluating the adequacy of current legal frameworks in addressing these changes. Successful candidates will join a vibrant and collegial environment at the Digital Democracy Centre (SDU), working under the supervision of Claes de Vreese (University Professor, Director DDC SDU) and collaborating with Lynge Asbjørn Møller, Ayo Næsborg-Andersen, and Lena Frischlich. The research team also includes colleagues such as Curd Knüpfer and Josephine Lukito. The positions are ideal for candidates with backgrounds in artificial intelligence, computer science, communication studies, media studies, law, or related fields. The project offers an excellent opportunity to engage in cutting-edge research at the intersection of technology, media, and society. Applicants should demonstrate a strong interest in AI, news production and consumption, and legal frameworks. Specific requirements regarding degrees, skills, and experience are detailed in the official job postings linked below. For more information and to apply, please visit the SDU Career Site using the provided links for PhD and Postdoc positions. Application deadlines and further details are available in the job descriptions. Keywords: Artificial Intelligence, News Ecosystem, Trust, Authenticity, News Production, News Consumption, Legal Frameworks, Interdisciplinary Research.