Open Positions
Thank you for considering the University of Mannheim as your employer. Our staff members enjoy an attractive work environment with numerous benefits and exciting career opportunities. We are looking forward to receiving your application!
Student Teaching Assistant (all genders)
Institution/
Type of position: Part-time
Start: as soon as possible
Remuneration bracket: H1,H2
Weekly hours: 2.5 hours
Location: Mannheim
Application deadline: 1 August 2025
We are looking for a Bachelor/
The course teaches students how to use Python from the ground up. Starting from fundamentals, we cover functional programming and finish with more advanced concepts, such as econometrics, web scraping, and machine learning. You can find more information about the course on the chair's website: https://www.bwl.uni-mannheim.de/en/ruenzi/teaching/master-courses/fin-687-python-in-finance/
A traditional cover letter is not required.
Instead, please shortly address the following two skills in your email:
1. Explain your proficiency in Python.
For example, highlight projects you did, methods you used, and how frequently you work with Python. Do you also use it for hobby projects?
2. Explain your proficiency in presenting / teaching.
For example, mention presentations you held, how many people were there, and the difficulty and nature of the topic. Highlight any teaching assistant positions you held.
In addition, please submit your CV and transcript of records.
Your tasks include
- Prepare teaching materials for the exercise sessions
- In-person teaching of the five exercise sessions (1.5h each)
- Answering students' questions about course materials
- Assisting the team with other tasks related to the course
Your profile
- Fluent English
- Proficient in Python without relying on AI
- Ability to explain concepts in simple terms
Optional:
- Experience teaching / presenting to medium-sized audiences
- Knowledge about econometrics, machine learning, and web scraping
What we offer
The exercise sessions are to be taught in person in Mannheim. All other tasks can be conducted remotely at flexible working hours.
Students from other disciplines, e.g. Computer Science / Data Science / Economics, are highly encouraged to apply. Knowledge about Finance is NOT a requirement.
Applications from persons with a disability are given preferential consideration provided that they are appropriately qualified. The University of Mannheim is committed to increasing the quota of women and thus encourages women with appropriate qualifications to apply.
If you are interested in applying, please send your application documents via
e-mail by 1 August 2025 at the latest:
sven.vahlpahl uni-mannheim.de
If you have any questions about the position, please contact Sven Vahlpahl at
sven.vahlpahl uni-mannheim.de


