InstitutionFaculty of Business, Economics and Social Sciences, Department of Social Sciences, Journalism and Communication Studies, Digital Journalism
Salary levelEGR. 13 TV-L
Start date01.05.2026 pending approval of external funding, fixed until 30.04.2030 (This is a fixed-term contract in accordance with Section 2 of the academic fixed-term labor contract act [Wissenschaftszeitvertragsgesetz, WissZeitVG]).
Application deadline05.02.2026
Scope of workpart-time
Weekly hours80 % of standard work hours per week
Your responsibilities
Duties include academic services in the project named above. Research associates may also pursue independent research and further academic qualifications. They may also pursue doctoral studies outside of working duties.
This project introduces a fundamentally new way of studying the public sphere by designing and testing models of algorithmic news supply that translate normative democratic ideals into experimentally observable news environments.
Public Spheres for Democracy: Journalism and Communication Studies, esp. Digital Journalism
As PhD Student, you will contribute to this approach by developing conceptual and empirical measures of public sphere principles and applying them to the systematic analysis of political news content.
Research
conduct a systematic literature review on political public sphere models and news recommender systems (NRS)
operationalize public sphere principles into measurable metrics for algorithmic news supply using computational methods
analyze large-scale multilingual news corpora to assess political news performance, including party visibility, viewpoint diversity, emotionalization, and other indicators
co-develop NLP-based metrics with manual validation
present results at international workshops, conferences, and lead as well as contribute to publications in academic journals
Collaboration & Project Coordination
work closely with an interdisciplinary team
support and take over responsibility in project coordination
Your profile
A university degree in a relevant field.
You are an excellent early-career researcher with a strong interest in the intersection of journalism studies, political communication, and computational methods.
Required Qualifications
a completed (or near completion) Master’s degree in Communication Science, Journalism Studies, Political Science, Computational Social Science, or a related field
strong knowledge of public sphere theories, democratic models, and/or political communication
experience with empirical research, especially content analysis or computational text analysis
familiarity with Natural Language Processing (NLP) methods or willingness to develop these skills (e.g., entity linking, stance detection, multilingual models)
ability to work with large datasets, scrape or handle news corpora, and perform reproducible data analysis
strong analytical, conceptual, and academic writing skills
Desirable Qualifications
ability to work with large datasets, scrape or handle news corpora, and perform reproducible data analysis
background in journalism research, news diversity, or media performance
experience with Python, machine learning libraries, or multilingual NLP
interest in algorithmic curation, recommender systems, or democratic theory
ability to work independently, proactively, and collaboratively in an interdisciplinary, international team
excellent command of English (written and spoken)
command of German (written and spoken)
Polish or Norwegian language skills are a plus
We offer
Reliable remuneration based on wage agreements
Continuing education opportunities
University pensions
Attractive location
Flexible working hours
Work-life balance opportunities
Health management, EGYM Wellpass
Educational leave
30 days of vacation per annum
Additional benefits:
integration into a cutting-edge ERC project bridging communication studies, political theory, and computer science
collaboration with internationally recognized researchers and access to state-of-the-art computational infrastructure
support for conference participation, publications, and academic career development
a dynamic, interdisciplinary, and supportive research environment
Universität Hamburg—University of Excellence is one of the strongest research educational institutions in Germany. Our work in research, teaching, educational and knowledge exchange activities is fostering the next generation of responsible global citizens ready to tackle the global challenges facing us. Our guiding principle “Innovating and Cooperating for a Sustainable Future in a digital age” drives collaboration with academic and nonacademic partner institutions in the Hamburg Metropolitan Region and around the world. We would like to invite you to be part of our community to work with us in creating sustainable and digital change for a dynamic and pluralist society.
The University of Hamburg is committed to equity. Diversity enriches our university life, whether in our studies, research, teaching, education, or workplace. We therefore welcome all applications, regardless of gender, gender identity, sexual orientation, ethnic or social background, age, religion or belief, disability, or chronic illness.
The University of Hamburg strives to increase the number of women in academia, and encourages qualified female academics to apply.
Severely disabled and disabled applicants with the same status will receive preference over equally qualified non-disabled applicants.
Instructions for applying
Contact
Prof. Dr. Juliane Lischka
juliane.lischka@uni-hamburg.de
+49 40 2395-24703
Reference number
9
Location
Von-Melle-Park 5
20146 Hamburg
Application deadline
05.02.2026
Use only the online application form to submit your application with the following documents:
cover letter
CV
copies of degree certificate(s)
If you experience technical problems, send an email to bewerbungen@uni-hamburg.de.
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