Mathematics and Machine Learning Internship

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Next lectures
24.04.2025, 11:15 (A3 01 (Sophus-Lie room))
08.05.2025, 11:15 (A3 01 (Sophus-Lie room))
15.05.2025, 11:15 (A3 01 (Sophus-Lie room))
22.05.2025, 11:15 (A3 01 (Sophus-Lie room))
05.06.2025, 11:15 (A3 01 (Sophus-Lie room))
12.06.2025, 11:15 (A3 01 (Sophus-Lie room))
19.06.2025, 11:15 (A3 01 (Sophus-Lie room))
26.06.2025, 11:15 (A3 01 (Sophus-Lie room))
03.07.2025, 11:15 (A3 01 (Sophus-Lie room))
10.07.2025, 11:15 (A3 01 (Sophus-Lie room))
17.07.2025, 11:15 (A3 01 (Sophus-Lie room))
24.07.2025, 11:15 (A3 01 (Sophus-Lie room))
31.07.2025, 11:15 (A3 01 (Sophus-Lie room))
07.08.2025, 11:15 (A3 01 (Sophus-Lie room))

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This is the first iteration of the "Mathematics and Machine Learning Praktikum" organized between the Max Planck Institute for Mathematics in the Sciences (MPI MIS), the Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI), and Leipzig University. The internship involves designing, analysing, and implementing algorithms and models at the intersection of mathematics and machine learning. Several projects will be offered, which are worked on in small groups of 1-5 participants.

The deliverables include:

• A written report detailing the research work.
• A complete, working, and well-documented code repository (or equivalent artifact) that demonstrates the hands-on work performed during the internship.
• Two 10-minute group presentations: one mid-semester to provide an update on progress and outline next steps, and one at the end of the semester to present final results. Specific dates for these presentations will be arranged together with the participants.

For more details, refer to the internship website.

Audience
B.Sc. Informatik 6. Semester, M.Sc. Data Science 2. Semester, M.Sc. Informatik 2. Semester

Language
English