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University of Stuttgart
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Postdoctoral Position in Foundation Models for Knowledge Graphs University of Stuttgart in Germany
Degree Level
Postdoc
Field of study
Computer Science
Funding
Full-time employee position for 24 months at 100% working time, paid according to German TV-L E13, ranging from €62,000 to €71,000 gross per year depending on experience; the position may be extendable.
Deadline
Dec 16, 2026
Country
Germany
University
University of Stuttgart
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About this position
The University of Stuttgart’s Institute for Artificial Intelligence invites applications for a full-time postdoctoral position in the Analytic Computing group, focused on Foundation Models for Knowledge Graphs.
The postdoctoral researcher will undertake foundational research on automating the management of data and knowledge through techniques that combine machine learning, logic, and natural language understanding. The work aims to advance data integration, data analysis, and human-data interaction, connecting modern artificial intelligence methods with structured knowledge representation.
The researcher will define and lead upcoming projects in this area and contribute to the department’s computer and data science environment by advising and tutoring bachelor’s, master’s, and PhD students on topics related to the research. The position offers a friendly, challenging, and interdisciplinary setting with opportunities to develop an academic profile through cutting-edge publications.
The Institute for Artificial Intelligence is part of Cyber Valley and is connected with the International Max Planck Research School for Intelligent Systems, the ELLIS Unit Stuttgart, and the wider ELLIS Network, providing opportunities for collaboration from local to international levels. The position is based at the University of Stuttgart’s Campus Vaihingen in Germany.
Funding details
Full-time employee position for 24 months at 100% working time, paid according to German TV-L E13, ranging from €62,000 to €71,000 gross per year depending on experience; the position may be extendable.
What's required
Applicants should have a relevant academic background and demonstrated scientific research ability, including successful publications in relevant conferences and/or journals. They should enjoy precise analytical thinking, apply scientific rigor, pursue research ideas on real-world problems rather than only toy problems, and collaborate effectively with team members.
How to apply
Submit your application through the University of Stuttgart careers portal using the “Apply now” link. Applications submitted before November 16, 2026 receive preferential treatment; applications are accepted until the position is filled.
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Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.