Senior Scientist (Postdoc)

Universit; Wien; Hybrid; EUR 51.000 - 61.000; Vollzeit

Benefits dieser Stelle

Flexible working hours

Remote work option

International team

Training and coaching

Zusammenfassung

The University of Vienna invites applications for a postdoctoral position in Journalism and Communication Studies within the Faculty of Social Sciences. The role focuses on building national and international data infrastructures for media, elections and democracy, with emphasis on automated content analysis and reproducibility.

Four-year fixed term with potential permanence. You will contribute to MEDem, supervise PhD students, and teach courses while engaging in international publications and

Qualifikationen

• PhD in Political Science or Communication Studies (preferably with a focus on methods of automated content analysis)
• Several years of experience in management of quantitative social science data (survey, experimental, or text data)
• Publications in international peer‑reviewed journals or publications
• Excellent knowledge of computational social sciences
• Proficiency in R and Python for analysis
• Experience in science communication and knowledge transfer (teaching scientific methods)
• Experience in submitting project proposals and international projects
• Experience in establishing and developing research infrastructures (data pipelines, repositories)
• Knowledge of reproducibility and FAIR principles
• Experience in text/media data collection and processing (scraping, API)
• Teaching and supervision experience
• Excellent command of German and English

Aufgaben

• Contribute to development of MEDem data infrastructure and coordination
• Coordinate international research networks in political communication
• Organize data collection/ linking activities (panel surveys, content analyses, experiments)
• Standardize and develop content analysis methods (manual and automated)
• Publish and present internationally on media, elections, democracy
• Supervise student assistants and PhD supervision
• Teach courses independently per collective bargaining agreement
• Engage in Third Mission and science communication
• Participate in evaluation measures and quality assurance
• Participate in research, teaching and institute administration

Kenntnisse

Computational social sciences

R

Python

Science communication

Project proposals

Research infrastructure

Data management

Content analysis

Teaching supervision

German & English

Ausbildung

PhD in Political Science or Communication Studies

Tools

Data pipelines

Jobbeschreibung

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The University of Vienna is a community of almost 11,000 individuals, including approximately 7,700 academic staff members, who passionately pursue answers to the profound questions that shape our future. Fueled by curiosity and a deep sense of duty, they contribute invaluable insights to research and teaching, enriching our society. Are you inspired and driven by the desire to make a meaningful impact? We are currently seeking a/an

Senior Scientist (Postdoc)

49 Faculty of Social Sciences

Job ID:6083

Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom and support. Join us if you’re passionate about groundbreaking international research and academic excellence. Ready to be part of our team? Let’s shape the future together!

Your working environment:

Journalism and communication studies is a social and integrative science characterised by methodological diversity, at the centre of which is indirect public communication mediated by mass media. The Department of Communication, a sub-unit of the Faculty of Social Sciences, is seeking to fill a postdoctoral position under Prof. Hajo Boomgaarden.

We are looking for a postdoctoral researcher with several years of experience in social science research management, particularly in the establishment, operation, and further development of research infrastructures, as well as with outstanding research expertise in manual and computer-assisted content analysis. The position is focused on building national and international data infrastructures in the research area of media, elections, and democracy.

The post is initially a fixed-term contract for four years, with the possibility of it becoming permanent.

• Contributed to the development and coordination of Monitoring Electoral Democracy (MEDem), a (inter)national research infrastructure for political communication and election research, particularly at the headquarters and in the Service Centre for text and multimedia data
• Coordinated and integrated (inter)national research networks in political communication and election research, with a focus on manual and automated content analysis
• Organization, coordination, and implementation of various data collection and linking activities in the field of political communication and electoral research (e.g., panel surveys, content analyses, experiments)
• Standardization, validation, and further development of methods in the field of manual and automated content analysis
• International publication and presentation activities on the topics of media, elections, and democracies, with a focus on manual and automated content analysis
• Supervision of student assistants
• Independent teaching of courses in accordance with the provisions of the collective bargaining agreement
• Engage in supervision activities (including PhD students)
• Activities in the area of the Third Mission and science communication
• Participation in evaluation measures and quality assurance
• Participation in research, teaching and institute administration

Your profile:

• PhD in Political Science or Communication Studies (preferably with a focus on methods of automated content analysis in the field of political communication)
• Several years of experience in research management of quantitative social science data, such as the development, processing, analysis, and archiving of survey data, experimental data, or text data
• Publications in international peer-reviewed journals and/or publications
• Excellent knowledge of computational social sciences
• Excellent knowledge of the following statistical software programs: R and Python
• Experience in science communication and knowledge transfer (preferably with a focus on teaching scientific methods)
• Experience in submitting project proposals and participating in projects (preferably international projects)
• Experience in establishing, operating, and further developing research infrastructure (e.g., data pipelines, repositories, analysis and reproducibility environments)
• In-depth knowledge of reproducibility and the FAIR principles (Findable, Accessible, Interoperable, Reusable), including data management plans and data curation processes
• Development and operation of data collection and processing infrastructure for text/media data (scraping, API integration)
• Teaching and supervision experience
• Excellent command of German and English

What we offer:

Work-life balance: You have flexible working hours and can also work remotely (part-time if necessary by arrangement).

Inspiring working atmosphere: You will be part of an international team with excellent research infrastructure in a relaxed working environment.

Good public transport connections: Your new workplace is easily accessible by public transport.

Internal further training & Coaching: We offer you the opportunity to develop your skills on an ongoing basis.

Equal opportunities for all: We welcome every new personality to the team!

The basic salary corresponds to the collective agreement for university employees according to § 48 VwGr. B1 lit. b basic level (postdoc): EUR 5014,30€ gross on a full-time basis (14 times a year).

If you have any questions, please contact:

We look forward to new personalities in our team!
The University of Vienna has an anti-discriminatory employment policy and attaches great importance to equal opportunities , the advancement of women anddiversity . We place particular emphasis on enhancing women’s representation among the academic and general university staff, particularly in leadership roles, and therefore expressly encourage qualified women to apply. Given equal qualifications, preference will be given to female candidates.

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