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University of Southern Denmark

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PhD Student in Computational Social Science and Automated Content Analysis of Negative News University of Southern Denmark in Denmark

Degree Level

PhD

Field of study

Computer Science

Funding

The PhD project is funded by VELUX FONDEN. No stipend amount, tuition coverage, or other financial details are stated in the post.

Deadline

Sep 15, 2026

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Country

Denmark

University

University of Southern Denmark

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Keywords

Computer Science
Sociology
Psychology
Communication Studies
Political Science
Social Media
Content Analysis
Computational Social Science

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About this position

PhD opening at the University of Southern Denmark for a project on computational social science, automated content analysis, and the study of negative news, news avoidance, and mental well-being.

The position is part of the research project “Navigating Negativity: What Is a Healthy News Diet?”, which investigates when exposure to negative news helps people understand important societal issues and when it may contribute to harm and avoidance. The PhD student will analyze news coverage across legacy media and social media, including data from individual news feeds obtained through data donations, to measure the amount and characteristics of negative news across different media platforms and personalized information environments.

The project is funded by VELUX FONDEN and will be conducted at Syddansk Universitet / University of Southern Denmark. The team includes Miriam Brems, Lene Heiselberg, and David Hopmann from the Institute of Political Science, SDU, together with an international network including Anna Sophie Kümpel, Toni van der Meer, and Adam Shehata.

Ideal candidates should have strong computational skills and an interest in data donations, automated content analysis, and computational approaches to media and society. The post does not list detailed formal requirements in the text provided.

Application deadline: 15 September 2026. Use the linked job portal to read the full call and submit your application.

Funding details

The PhD project is funded by VELUX FONDEN. No stipend amount, tuition coverage, or other financial details are stated in the post.

What's required

Applicants should have strong computational skills and an interest in computational social science, data donations, and automated content analysis. The post implies the PhD candidate will work with news data from legacy media and social media; no specific degree, GPA, or language requirements are stated in the post.

How to apply

Apply through the linked Oracle Cloud job portal. Review the call details first, then submit your application before the deadline of 15 September 2026.

More information can be found here

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