Postdoc: Digital Media, Democracy & Computational Methods

Roskilde Universitet; Roskilde; On-site; DKK 420,000 - 540,000; Full time

Job summary

Roskilde University invites applications for one or two postdoctoral researchers in a project on digital media and democratic debate. The role focuses on collecting and analyzing digital data, developing methods to compare representations across platforms, and communicating findings to broader audiences.

Collaboration with the Digital Citizenship Centre and Digital Media Lab is central. Applicants should hold a PhD in a relevant field and bring interest in computational text analysis, online

Qualifications

• PhD required or expected by appointment in social science, humanities, or data science.
• Experience with computational approaches to digital data, especially text analysis and online content comparison.
• Familiarity with STS, digital methods, media/communication studies or related fields is welcome.

Responsibilities

• Design and implement the project's research activities.
• Collect, process and analyse digital media data, including computational text analysis.
• Develop and apply analytical methods aligned with theoretical and empirical concerns.
• Contribute to research publications and public-facing outputs.
• Engage in workshops, conferences and collaborations with academic and non-academic partners.
• Contribute to the department's collegial and interdisciplinary research environment.

Skills

Computational methods

Media & democracy research

STS & digital methods

Research communication

Danish language

English language

Education

PhD in relevant field

Job description

Roskilde University invites applications for one or two postdoctoral researchers in a project on digital media and democratic debate. The role focuses on collecting and analyzing digital data, developing methods to compare representations across platforms, and communicating findings to broader audiences.

Collaboration with the Digital Citizenship Centre and Digital Media Lab is central. Applicants should hold a PhD in a relevant field and bring interest in computational text analysis, online