Location: TUM Campus Heilbronn (onsite preferred) 
Start Date: As soon as possible / by agreement 
Working Hours:Flexible (e.g., 8–20 hours/week)

The Chair of Software Engineering and AI (Prof. Chunyang Chen) at the TUM Campus Heilbronn is looking for a motivated Student Assistant to support our teaching activities. Our research and teaching focus on the intersection of Human-Computer Interaction, Artificial Intelligence, and Software Engineering, with a special emphasis on Large Language Models (LLMs) and AI in software engineering.

Your Tasks

You will primarily support the teaching team for our courses on AI and Agent-based Software Engineering.

• Assisting in the preparation and update of course materials (slides, coding exercises).
• Designing and testing practical coding assignments involving LLMs and Agents.
• Supporting students during tutorial sessions or via online forums.
• Helping to evaluate and grade student submissions.

Your Profile

• Student Status: Currently enrolled at TUM
• Tech Stack: Strong programming skills in Python. Experience with AI coding (e.g., using OpenAI APIs, LangChain, HuggingFace, or building autonomous agents) is highly desirable.
• Location: Ideally based in Heilbronn or willing to commute occasionally.
• Motivation: You enjoy explaining complex technical concepts to others and have a passion for teaching.
• Language: Proficient in English (written and spoken); German is a plus but not required.

We Offer

• Flexible working hours that fit your study schedule.
• Insights into cutting-edge research on LLMs and Software Engineering.
• A young, international, and dynamic team at the TUM Campus Heilbronn.
• Remuneration according to the standard student assistant rates at TUM.

Application

We look forward to your application! Please send your motivation letter, CV and a transcript of records via email to:

recruitment@seai.cit.tum.de Subject: [HiWi Application] Teaching Support AI/SE - [Your Name]