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DAAD Zuse School of Embedded Composite Artificial Intelligence (SECAI): Scholarships for Master's students in AI

DAAD Zuse School of Embedded Composite Artificial Intelligence (SECAI)

This scholarship supports outstanding Master's students studying AI or a related field at TU Dresden or Leipzig University. It covers living expenses in Germany, with a monthly allowance of 934 EUR, and is awarded based on academic excellence, internationalisation, and diversity.

Qui peut postuler

Highly qualified current or prospective Master's students at TU Dresden or Leipzig University with excellent Bachelor's results (GPA 1.7 or better in German system) and studies closely related to SECAI research areas.

Avantages et bénéfices

Living expenses coverage
Monthly allowance

Contacts clés

Herr Philipp Hanisch
Contact
[email protected] +49 351/46343506

Sources

Liens utilisés par l'IA pour recueillir des informations sur cette subvention.

Financement

€934 – €934

Date limite

30 juin 2026

Ouverture

31 mai 2026

Site web de l'organisateur Voir la source

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Commencer gratuitement

Critères d'éligibilité

They currently are or soon will be students of TU Dresden or Leipzig University at Master level (it is possible to apply for the scholarship in parallel to applying for a Master's program; this requires two independent applications).
The content of their studies are closely related to the research areas of SECAI. This includes but is not limited to studies in the following programs: M.Sc. Computer Science (TUD), M.Sc. Computational Modeling and Simulation (TUD) in tracks Applied Artificial Intelligence and Computational Life Science, M.Sc. Data Science (UL), M.Sc. Nanoelectronic Systems (TUD), M.Sc. Bioinformatics (Bioinformatik, UL), M.Sc. Medical Informatics (Medizininformatik, UL).
All applicants must demonstrate an above-average academic track record, typically with a cumulative grade point average of 1.7 or better (after conversion to the German grading system). Exceptions may be made in case of adverse personal circumstances.