[HiWi / Research Student Assistant] Research on Human-AI Collaboration in Software Engineering

05.02.2026, Studentische Hilfskräfte, Praktikantenstellen, Studienarbeiten

Location: TUM Campus Heilbronn (remote optional)
Start Date: As soon as possible / by agreement
Working Hours: 8–20 hours/week, flexible

The Chair of Software Engineering and AI (Prof. Chunyang Chen) at TUM Campus Heilbronn is seeking a highly motivated student to contribute to our research project HAIC-SE – Human-AI Collaboration in Software Engineering. The project investigates how developers and AI systems (LLMs, coding agents) can collaborate more effectively across the software development lifecycle. We develop collaboration patterns, adaptive interfaces, and evaluation methods in close cooperation with an industry partner.

Your Tasks

• Design, develop, and evaluate prototypes for human-AI collaboration in software development
• Conduct literature reviews and help synthesise the state of the art
• Support the preparation and execution of user studies and empirical evaluations
• Analyse qualitative and quantitative data from experiments and developer interactions
• Contribute to scientific publications at top-tier venues

Your Profile

• Student Status: Currently enrolled at TUM (Computer Science, Software Engineering, Information Systems, or related field)
• Programming: Strong software engineering skills; proficiency in Python and/or TypeScript; experience building non-trivial software projects
• AI Tools: Hands-on experience with current AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code, Codex) and/or LLM APIs (OpenAI, Anthropic, Gemini, etc.)
• HCI Methods (plus): Familiarity with user study design, qualitative analysis, or UX evaluation methods is a strong advantage
• Research Interest: Curiosity about how humans and AI systems interact in practice; willingness to engage with academic literature
• Language: Proficient in English (written and spoken); German is a plus but not required

We Offer

• Direct involvement in a funded research project at the intersection of SE, HCI, and AI
• A collaborative, international team working on one of the most relevant topics in modern software engineering
• Flexible hours compatible with your study schedule
• Remuneration according to standard TUM student assistant rates

Include the following:

• Short motivation (0.5–1 page): Why does this topic interest you? What relevant experience do you bring?
• Curriculum vitae
• Transcript of records
• (Optional) Links to relevant projects, GitHub profile, or prior work

Kontakt: recruitment@seai.cit.tum.de