12 cloud-computing-"https:"-"https:"-"https:"-"https:"-"https:" uni jobs at University of Tübingen
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large-scale scientific research and foundation models. The Machine Learning Science Cloud is part of the AI/ML compute ecosystem in Tübingen. Our users work on diverse research and transfer projects
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University services Teaching / training abroad (Erasmus+) Back Erasmus+ within Europe Erasmus+ worldwide Information for Back Prospective Students Current Students Staff Back Advice and help Computer and IT
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19.01.2026 Application deadline: 15.02.2026 The High Performance und Cloud Computing Division at the IT Center (ZDV) of the Eberhard Karls Universität Tübingen seeks to fill one project positions
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: Enrollment in a Master’s or Ph.D. program at the University of Tübingen Responsibilities The Student Assistant will work closely with CSU exchange students to support their academic experience and facilitate
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16.02.2026 Application deadline : 15.03.2026 The Collaborative Research Center (CRC) 1233 “Robust Vision” brings together leading researchers in machine learning, computer vision, and systems
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2026), with the aim of an ongoing employment and longer-term collaboration. The team provides scientific support and evaluates the Hector Children’s Academies, an extracurricular enrichment program for
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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
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combinable with scientific research (up to 20% of the work hours). Requirements for employment are a completed Master or PhD degree in a relevant field (computational / theoretical linguistics, cognitive
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processing the data collected in the course of the study. Requirements: Degree programme in law or computer science; strong interest in AI applications and in the associated legal and economic issues; strong
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Center for Digital Education is carried out in collaboration with the Department of Computer Science, the Hector Institute for Empirical Educational Research, the Leibniz Institute for Knowledge Media, and