Organisation/Company Saarland University Research Field Computer science » Other Sociology » Other Researcher Profile Leading Researcher (R4) Positions Postdoc Positions Application Deadline 15 Oct 2026 - 23:59 (Europe/Berlin) Country Germany Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No
Offer Description
The university is also inviting applications for another W2 Professorship (W3 tenure track position) in Political, Social or Communication Science (m/f/x; Reference no.: W2905).
This professorial appointment is open regarding the candidate's specific research focus within the field of computational social science. The successful candidate will define their own research agenda, provided that it demonstrates excellence in computational social science, addresses current societal questions, makes use of novel digital data sources and establishes clear links with computer science.
SOUNDS is a research project at Saarland University funded through the Saarland state government's Transformation Fund. lt investigates societally relevant questions through novel digital data sources, digital behavioural traces, social media data and Al-based methods. This professorship provides the computational social science core of the SOUNDS project. lt will combine social-science theory with network analysis, automated text analysis, the study of large-scale digital behavioural data, mobile sensing and Al-based modelling, addressing questions such as collective opinion formation, social cohesion and polarisation, or the role of digital platforms in public communication, and contributing to joint questions, methods and publications with the social sciences and computer science. The successful candidate will be expected to develop and lead externally funded research, including principal investigator roles in coordinated funding initiatives such as Collaborative Research Centres. Teaching duties will include computational and methodological courses, for example an the analysis of digital behavioural data, automated text analysis and network analysis. These courses will contribute to degree programmes in the social sciences, computer science, data science and psychology. The role also includes the supervision of student theses and the mentoring of early-career researchers.
We are looking for a researcher with excellent international standing in computational social science and a streng record of working with novel digital data sources applied to societally relevant questions. Your expertise should include computational methods such as network analysis, automated text analysis, the analysis of large-scale digital behavioural data and Al-based modelling. You should be open to a formal affiliation with the Department of Computer Science. You will have an established international research network, an excellent record of high-impact publication and of third-party funding, including grants secured and applications submitted. You should also be prepared to take an principal investigator roles in coordinated funding initiatives such as Collaborative Research Centres. A willingness to teach in English is expected, as is the willingness to teach in German in the medium term.
Additional comments
Saarland University views internationalization as a process spanning all aspects of university life. We therefore expect members of our professorial staff to promote and fester further internationalization. Special support will be provided for projects that expand collaboration within existing international cooperative networks, e.g. projects with partners in the European University Alliance Transform4Europe (www.transform4europe.eu ) or the University of the Greater Region (www.uni-gr.eu ).
In accordance with the objectives of its gender equality plan, Saarland University is actively seeking to increase the proportion of warnen in this field. Qualified warnen candidates are therefore strongly encouraged to apply. Preferential consideration will be given to applications from disabled candidates of equal eligibility. Furthermore, we welcome applications from all qualified candidates irrespective of nationality, ethnic heritage or social background, religious beliefs, personal beliefs or values, age, sexual orientation or identity.
When you submit a job application to Saarland University, you will be transmitting personal data. Please refer to our privacy notice for information on how we collect and process personal data in accordance with Art. 13 of the General Data Protection Regulation (GDPR) (www.uni-saarland.de/en/privacy ). By submitting your application, you confirm that you have taken note of the information in the Saarland University privacy notice.
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