25 systems-science-"https:"-"https:"-"https:"-"https:" positions at University of Tübingen
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Researcher in Computational Linguistics / Cognitive Science (m/f/d, E13 TV-L, 100%) The position will be filled for a fixed term of three years. Payment is at 100% of pay scale E13. The position is associated
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Professorship (W 1 without tenure track) in “Data Science in Sport Economics” (f/m/d) to be filled at the earliest possible date. The position is initially limited to four years, with the possibility of extension
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. Applicants should have a background in population genetics/genomics, molecular ecology, biodiversity informatics, or a related field. Experience with large-scale data analysis is essential. Additional
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history. As the funding comes from a specific project of the German Science Foundation (DFG), the applicant is required to have written a working paper on Asian economic history over the past millennia
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24.03.2026 Application deadline : 15.04.2026 The Cluster of Excellence GreenRobust Plant Science Vacancies and the Department of Plant Ecology is searching for: 1 Postdoc position in Plant
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18.03.2026 Application deadline : 30.04.2026 The Cluster of Excellence “Machine Learning – New Perspectives for Science” at the University of Tübingen is seeking a Scientific Director (m/w/d, E14 TV
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area “LaSTing: Robust Assessment & Safe Applicability of Language Modeling: Foundations for a New Field of Language Science & Technology,” which is funded by the German Research Foundation (DFG
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systems, microbial ecology, enrichment and selection strategies, and sustainable process engineering. Qualifications We seek motivated and curious students with a Master’s degree in Environmental
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/ Data Architect (m/f/d, E13 TV-L, 100%) The position is available in the team of the Machine Learning Science Cloud and runs until 31st December 2032. Help us build a modern HPC architecture for training
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in computer science, data science, and research IT. The overarching goal is to jointly develop sustainable, FAIR-compliant data structures that will support scientific discovery within the cluster in