Mathematics and Machine Learning Internship (Summer 2026)
Organization
- Organizer: Diaaeldin Taha and Baran Hashemi
- Contact:
taha [at] mis [dot] mpg [dot] de - Time and Location: Two internship-wide organizational meetings will take place at MIS MPI A3 01, Thursdays 09.04 and 16.04, 11:15 - 12:45. Instructions for accessing A3 01 are available here; doors will automatically open 15 minutes before the meetings. Subsequent meetings will be arranged individually with each project mentor
- Module Description: Available here.
- Course Plan Entry: TBA
- Study Programs:
- B.Sc. Informatik 6. Semester [Kernmodul]
- B.Sc. Mathematik [Projektpraktikum]
- M.Sc. Data Science 2. Semester [Wahlpflichtbereich Datenanalyse]
- M.Sc. Informatik 2. Semester [Kernmodul]
- Diplom Mathematik [Seminarschein]
Overview
This is the third 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 module description and the project reports from the first iteration.
Calendar
- Organizational meeting 1/2: MPI MIS A3 01, Thu 09.04.2026, 11:15 - 12:45 (tentative)
- Organizational meeting 2/2: MPI MIS A3 01, Thu 16.04.2026, 11:15 - 12:45 (tentative)
- Mid-semester presentations: TBA
- End-of-semester presentations: TBA
- Deadline for submitting deliverables: TBA