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University of Southern Denmark

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Postdoctoral Positions in Computational Social Science, Hybrid War and Democracy University of Southern Denmark in Denmark

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full-time employment for up to two years. Salary and employment terms follow the applicable Danish collective agreement for academic staff and are based on the position's content, responsibilities, and qualifications. Starting salary and salary range will be provided during recruitment.

Deadline

Nov 23, 2026

Country flag

Country

Denmark

University

University of Southern Denmark

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Keywords

Computer Science
Data Science
Sociology
Psychology
Communication Studies
Political Science
Artificial Intelligence
Political Communication
Computational Mathematics
Data Integrity
Democratization
Computational Social Science
Statistics

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About this position

The Danish Institute for Advanced Study (DIAS) at the University of Southern Denmark invites applications for one or more full-time postdoctoral positions within the Hybrid War and Democracy initiative in Odense.

The initiative examines how international conflicts are increasingly waged through domestic and foreign influence campaigns supported by digital technologies and artificial intelligence. The research addresses the consequences of these developments for democracies, threat perceptions, information integrity, and citizens’ information agency.

Postdoctoral researchers will join an interdisciplinary project team and collaborate with scholars at DIAS and the Centre for Digital Democracy (DDC). The work is suited to researchers in computational social science, data science, computer science, communication, political science, linguistics, information studies, digital humanities, sociology, psychology, or related areas. The project uses quantitative and computational techniques together with surveys and experiments to investigate social-science questions.

Researchers will contribute across the full research process, including project conception, data collection, computational analysis, academic publication, public dissemination, and engagement with journalists, policymakers, and wider audiences. The role also involves translating methodological ideas for non-computational researchers, supporting interdisciplinary exchange, contributing to grant-development activities, presenting findings at international conferences, and potentially participating in teaching.

DIAS provides an interdisciplinary and curiosity-driven research environment at the University of Southern Denmark, while the DDC brings together expertise spanning computer science, law, media studies, political science, business, and organizational research. Employment is based in Odense, with expected commencement on 1 April 2027 or as soon as possible thereafter.

Funding details

Full-time employment for up to two years. Salary and employment terms follow the applicable Danish collective agreement for academic staff and are based on the position's content, responsibilities, and qualifications. Starting salary and salary range will be provided during recruitment.

What's required

Applicants must hold a PhD degree or equivalent and have a research profile grounded in computational methods applied to social science questions. Candidates should have strong computational skills, proficiency in R or Python, and experience with quantitative and computational techniques, surveys, and/or experiments. They should be able to work independently and collaboratively on data collection, analysis, academic writing, dissemination, and interdisciplinary communication; present research internationally; communicate effectively in English; and contribute to research, knowledge exchange, grant acquisition, and possibly teaching. Danish is advantageous but not required. Applications should include a cover letter, detailed CV, certificates and diplomas, at least two references with complete contact details, publication list, three relevant publications or thesis chapters, and a teaching portfolio if applicable. A short coding test may be part of the assessment.

How to apply

Prepare the required documents as unlocked Adobe PDFs, with the application and CV each no larger than 10 MB. Submit the application electronically through the vacancy's “Apply now” link before the deadline; applicants should also review SDU's guidance on applying for positions.

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