About the role
Tutor for "Modeling of Uncertainty and Data in Engineering Sciences" (WiSe 2026/27)
18.09.2026, Student assistants, internships, student research projects
For the course "Modeling of Uncertainty and Data in Engineering Sciences" we are looking for tutors to teach a series of tutorials in the winter semester 2026/27. Total workload approx. 30–60 hours, depending on demand and preferences, with flexible scheduling and good compensation. Grade better than 2.5 in this or a similar course required; BSc students preferred.
Are you good at probability theory and uncertainty modeling, and enjoy explaining things to fellow students? For the course "Modeling of Uncertainty and Data in Engineering Sciences" we are looking for tutors to support the teaching of the tutorial sessions.
Your tasks:
- Independently teaching a series of tutorial sessions for the course "Modeling of Uncertainty and Data in Engineering Sciences"
- Helping students work through exercises on uncertainty modeling, probability theory, and related methods, and discussing the solutions with them
- Total workload for the winter semester: approx. 30–60 hours, depending on preferences and demand for the positions
You're a good fit if you enjoy:
- Probability theory, statistics, and uncertainty modeling
- Explaining concepts and supporting fellow students in their learning
- Working independently and flexibly
What you bring:
- A grade better than 2.5 in this course or a similar course
- BSc students are preferred, but TUM MSc students may also apply
- Reliability and enjoyment working with students
What we offer:
- Good compensation for the hours spent
- Flexibility with the times/dates
- Total hours of work for the winter semester: 30–60 hours (depending on preferences and demand for the positions)
If you are interested, please send an email to [email protected]. We look forward to your application!
Technical University of MunichTUM School of Engineering and Design
Professorship of Data-driven Materials Modeling
https://www.epc.ed.tum.de/ddmm/
Kontakt: [email protected]
How to apply
Read the full posting, then apply through the employer's own site. Applications are handled by the institution, not by AcademicGates.