The digital revolution is transforming societies, economies, and even science and its paths to knowledge. At the Munich Data Science Institute (MDSI), we are anticipating, accompanying and shaping this change.
We are TUM’s central interface and innovation hub for questions and solutions arising from Data Science, Machine Learning and Artificial Intelligence. We are connecting people and ideas across disciplines.
MDSI and the Collaborative Research Center LETSimmun (TRR 338) are jointly seeking a Data Steward (full-time, starting at the earliest possible date) to support research data…
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This course will teach attendees about responsible data management practices according to the FAIR principles. Additionally, learners will gain experience in communicating…
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Application deadline: April 1, 2026. This two-day online "Orientation Session" is the kick-off event of the "LRZ AI Training Series", a series of courses aiming at the needs…
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Application deadline: March 26, 2026. Venture Guide (formerly Technology Entrepreneurship Lab / ELab) is a hands-on course for students who want to develop facilitation and…
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Starting on April 1, 2026, the German Research Foundation (DFG) is funding the research training group METEOR. METEOR is dedicated to strengthening interaction between machine learning experts and researchers in control theory from TUM as well as LMU.
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Influencing a city’s climate in real time? With their new model DRIVE, Prof. Jia Chen and her PhD Student Daniel Kühbacher have made exactly that possible. Traffic emissions can now be captured with high spatial and temporal resolution - down to individual streets and on an hourly basis - allowing…
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Snakemake Hackathon 2026 delivers even faster and further improved support for reproducible data analysis. The 2026 Snakemake Hackathon brought together about 40 experts in Munich to deliver major improvements, new features, and performance enhancements for reproducible data analysis. Their…
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TUM has once again been ranked among the top 20 universities in the QS World University Rankings by Subject, both in engineering (16th) and in natural sciences (19th). In the rankings for five individual subjects, it places among the top 25. In eight other subjects, it ranks in the top 50…
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This course will teach attendees about responsible data management practices according to the FAIR principles. Additionally, learners will gain experience in communicating…
[read more]
Application deadline: April 1, 2026. This two-day online "Orientation Session" is the kick-off event of the "LRZ AI Training Series", a series of courses aiming at the needs…
[read more]
Application deadline: March 26, 2026. Venture Guide (formerly Technology Entrepreneurship Lab / ELab) is a hands-on course for students who want to develop facilitation and…
[read more]
Application deadline: April 6, 2026. Principled Entrepreneurial Decisions (PED) is an immersive seminar (also taught at Stanford) that helps participants make high-stakes…
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Data wrangling is an essential skill for reproducible research and effective data analysis. This introductory workshop will guide participants through the practical steps of…
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The International Conference on Learning Representations (ICLR) is the premier gathering of professionals dedicated to the advancement of the branch of artificial intelligence…
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The IEEE Conference on Artificial Intelligence (IEEE CAI) is an international conference and exhibition with an emphasis on the applications of AI and key AI verticals that…
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Artificial intelligence at TUM
Contact
We are located at
Walther-von-Dyck-Str. 10, 85748 Garching, Germany, GALILEO Garching, TUM Building 05.8120.017, Entrance 8, 5th floor. info@mdsi.tum.de
If you use public transportation, please consider the MVV-Journey Planner to calculate your route to the nearby station Garching Forschungszentrum. With the U6 you can reach us from Marienplatz in 25 min.
Further locations
Members of the MDSI are located at various places in Munich and Garching. Please find contact information on the websites of our focus groups and members' chairs.
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