W3 Professorship Computational Social Science (m/f/x; Reference no.: W2906)
Core
Lead the computational social science core of the SOUNDS research project, combining social-science theory with network analysis, automated text analysis, large-scale digital behavioural data, mobile sensing, and AI-based modelling to address societal questions like collective opinion formation and social cohesion.
Role type
W3 Professor (Tenure Track) in Computational Social Science
Builds
Externally funded research projects (e.g., Collaborative Research Centres), degree programmes in social sciences/computer science/data science/psychology, and joint publications with social sciences and computer science.
Domain
Computational Social Science, Digital Humanities, Network Analysis, AI/ML
Deliverable
production ML models
Required skills
Network analysis, automated text analysis, analysis of large-scale digital behavioural data, AI-based modelling, third-party funding acquisition, principal investigator leadership, international research networking, teaching in English and German
Preferred skills
Experience with mobile sensing, affiliation with Department of Computer Science
Technologies
Network analysis tools, automated text analysis frameworks, AI/ML modelling frameworks, mobile sensing platforms
Responsibilities
Develop and lead externally funded research, teach computational and methodological courses, supervise student theses, mentor early-career researchers, establish links with computer science
Seniority
W3 Professor (Tenure Track), Senior, hands-on IC & Strategy
