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Studentische Hilfskräfte, Praktikantenstellen, Studienarbeiten
Stellenanzeigen sollen von den jeweiligen Einrichtungen selbst eingetragen werden. Dazu sind Mitarbeiterrechte im Portal erforderlich. Dies ist bei allen in TUMonline enthaltenen Mitarbeitern automatisch der Fall. Eine Anleitung finden Sie in der Kurzanleitung für Stellenanzeigen und (ausführlicher) im Best Practice Manual Stellenanzeigen (pdf)
28.08.2025
Studentische Hilfskraft (m/w/d) – Münchner Studienzentrum
Das Münchner Studienzentrum am TUm Klinikum Rechts der Isar sucht studentische Hilfskräfte.
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Kontakt: brigitte.baier@mri.tum.de
27.08.2025
Studentische Hilfskraft für die Designfactory 1:1
- ab Oktober 2025
- mit handwerklichem Hintergrund (z.B. Schreiner*in oder Zimmerfrau/Zimmermann, Elektriker*in, Schlosser*in)
- 7 Std. pro Woche
- Bezahlung nach Vergütungssätzen der TU
- Aufgaben: Unterstützung der studentischen/wissenschaftlichen Projekte im Bereich Architektur/ Bauingenieurwesen im Maßstab 1:1, die in der Halle gebaut werden;
Instandhaltung/ Bauaufgaben, die in der Halle anfallen;
Pflege, Wartung Maschinen; uvm.
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Kontakt: nora.singer@tum.de, sandra.kahl@tum.de
26.08.2025
Writing Fellow (m/w/d) for the TUM English Writing Center
As a Writing Fellow, you will work one-on-one with TUM students to improve their academic writing in English. Fellows work approximately 6 hours per week on the TUM campuses in Munich, Garching, or Weihenstephan, with an opportunity to increase the hours in subsequent semesters.
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Kontakt: wellershausen@zv.tum.de
26.08.2025
Student Administrative Assistant (m/w/d) for the TUM English Writing Center
The English Writing Center (EWC) is looking to hire a “studentische Hilfskraft” as an administrative assistant to help with various tasks. The job can be done partly on site in Munich or Garching and partly from home. The job contract is for 10 hours per week, with some flexibility depending on your availability.
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Kontakt: wellershausen@zv.tum.de
25.08.2025
Internship Opportunity: Parasitology & Animal Health Diagnostics in Dairy Cattle
The Chair of Infection pathogenesis is offering a hands-on research internship focused on endoparasitic screening and animal health diagnostics in a university-run dairy herd. This short-term research opportunity is ideal for agricultural bioscience students with an interest in veterinary diagnostics, parasitology, and herd health management.
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Kontakt: luise.hohensee@tum.de
25.08.2025
Student Assistant Software Development for AI in Energy Technology (f/m/d)
The Professorship of Energy Management Technologies at TUM’s School of Engineering and Design is looking for a Student Assistant (f/m/d) for Software Development in AI and Energy Systems.
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Kontakt: student-applications.emt@ed.tum.de
25.08.2025
Tutor for Lecture Data Analysis and Visualization in R (IN2339) WS 25/26
We are looking for motivated students for a tutor position with the course
Data Analysis and Visualization in R (IN2339).
This is a great opportunity to deepen your Stats and Machine Learning skills and
gain teaching experience!
You would give 2 exercises per week, 2 hours each.
The total workload would be 8 hours.
If you successfully took the course we would be happy to hear from you!
Send your application now to teaching-gagneurlab@in.tum.de
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21.08.2025
Studentische Hilfskraft – Hämatologie und Onkologie
Die Klinik und Poliklinik für Innere Medizin III am TUM Klinikum Rechts der Isar sucht studentische Hilfskräfte.
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Kontakt: Katharina.Fehringer@mri.tum.de
20.08.2025
Bachelorthesis Brandschutz im Theater: Experimentelle Vergleichbarkeiten des Brandverhaltens von Vorhängen
Brandschutz | Brandverhalten | Experimentelle | Risiko | Sicherheit
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Kontakt: Björn Maiworm: bjoern.maiworm@tum.de
20.08.2025
Masterarbeit / Semesterarbeit / IDP (m/w/d): Statistical Methods and Machine Learning in Medical Engineering – Foot Landmark and Bone Registration Estimation
We are exploring how to reduce the need for CT scans in foot diagnostics by estimating internal structures from simple 3D surface scans. This project combines statistical shape modeling and machine learning to predict bone geometries and anatomical landmarks — potentially lowering patient radiation exposure and speeding up diagnosis.
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Kontakt: patrick.carqueville@tum.de, robin.compeyron@tum.de
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