ELLIS Institute Tübingen - Internship students

Deadline: As soon as possible

Internships

Companies

Location(s)

  • Germany
Maria-von-Linden-Straße 2, 72076 Tübingen

Overview

Our Principal Investigators Antonio Orvieto, Celestine Mendler-Dünner, Maximilian Dax, Rediet Abebe, Shiwei Liu, T. Konstantin Rusch, and Wieland Brendel are looking for motivated students interested in doing an internship at the ELLIS Institute Tübingen. The start date and duration of the internship can be discussed directly with the PI, or you can mention your preferences in your motivation letter.

Details

About the ELLIS Institute Tübingen

The ELLIS Institute Tübingen is set to become a world-renowned center for pioneering basic research in the field of artificial intelligence. The Institute aims to attract the world's best machine learning talent, providing them with outstanding conditions to conduct research in a state-of-the-art facility located in Tübingen, Germany, in close collaboration with the Max Planck Institute for Intelligent Systems and the Tübingen AI Center.

The vision is part of a broader initiative, the European Laboratory for Learning and Intelligent Systems (ELLIS), which aims to build a pan-European institution for machine learning research.

The ELLIS Institute Tübingen is funded by the Hector Foundation and the state of Baden-Württemberg.

About the ELLIS Network

ELLIS is a pan-European AI network of excellence. It builds upon machine learning as the driver for modern AI and aims to secure lasting international leadership of AI made in Europe by connecting top researchers in this field and by creating a multi-centric AI research laboratory. Founded in 2018, ELLIS has grown into a network that counts more than 40 ELLIS units at world-class institutions in 14 countries, 16 ELLIS programs and a pan-European PhD program. The members of ELLIS are committed to shaping the future of AI in Europe by pushing the scientific and technological boundaries for human-centered, beneficial and safe AI.

Opportunity is About


Eligibility

Candidates should be from:


Description of Ideal Candidate


Dates

Deadline: As soon as possible


Cost/funding for participants

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