We are looking for a Working Student (m/f/d) to support the R&D Strategy department at our Munich site, starting as soon as possible.

Your Tasks

• Manage and continuously improve Knowledge Bots used within CTCS R&D, including maintaining and extending the underlying knowledge pipeline
• Design and implement quality control mechanisms to evaluate and improve the answer quality and reliability of AI chatbots
• Develop scripts, tools, and automation solutions that help employees work more efficiently with internal AI systems
• Support the development of internal AI tools, agents, and cloud-based solutions tailored to R&D needs
• Set up and help administer a tool for idea management, enabling structured collection and evaluation of innovation ideas
• Work closely with engineers and developers on the design and development of an AI-powered video processing tool
• Improve and extend existing AI systems while also building new prototypes where required

Exploratory & Future-Oriented Tasks

• Research and prototype AI-based test case generation approaches for machines
• Investigate possibilities to process and analyze machine log files using AI to support engineering and diagnostic use cases

Your Qualifications

• Master student preferred in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a comparable technical field
• Advanced programming skills (e.g. Python) and experience with AI technologies, with the ability to independently design and implement technical solutions
• Strong analytical and structured problem-solving skills, with a high level of quality awareness and responsibility
• Ability to work independently in a research-oriented R&D environment
• Strong communication skills and the ability to document and explain technical concepts clearly
• German as the primary working language, with English mandatory for technical content and collaboration

What We Offer

• Working two days per week with flexible agreements
• Hands-on experience with real AI systems and tools used in an R&D context
• Close collaboration with experienced engineers and researchers
• The opportunity to actively shape and influence AI adoption within R&D
• A technically challenging working student role with high autonomy and impact