Professur für Data Science in Politik und Gesellschaft (W2)
Core
Developing and teaching quantitative methods and AI-driven analyses in the context of political and social issues, while conducting applied research in Data Science.
Role type
Associate Professor (W2) in Data Science and Political Science
Builds
Academic programs, student research projects, and applied research outputs
Domain
Social Sciences / Data Science / Public Policy
Deliverable
production ML models
Required skills
Data Science, Statistical Data Analysis, Quantitative Methods, Empirical Social Science, Political Science, Python, R, Large Language Models (LLMs), Academic Teaching
Preferred skills
Computational Social Science, Digital Humanities, Election Data Analysis, Network Analysis, Public Sector Networks, Policy Consulting, Innovative Teaching Formats
Responsibilities
Develop and deliver practical courses in quantitative methods and AI; Supervise student data projects and theses; Conduct independent applied research in Data Science; Engage in academic self-administration and curriculum development
Seniority
Senior, Academic Researcher & Educator