Master-Thesis: Regulatory Intelligence powered by AI in Product Management (all genders)

Our mission has started. We are starting our own battery cell production in Battery Valley in Salzgitter and ramping up our headquarters for global cell production. The product management unit is responsible for all activities relating to the development and industrialization of battery cells. Responsibilities range from the preparation of technology roadmaps and portfolio planning to volume and cycleplan planning and the holistic program management for global battery projects.

• Design a robust and scalable AI system architecture capable of handling complex reasoning tasks, ensuring reliability, transparency, and effective human oversight
• Develop advanced decision support frameworks that leverage data to generate actionable strategic recommendations, exploring suitable modeling techniques to navigate business and regulatory constraints
• Establish a rigorous framework for system evaluation and observability to ensure transparency, accuracy, and auditability, integrating the results into intuitive interfaces for stakeholders
• Use AI to craft executive slides with crisp, decision focused visuals, producing automatized standard slides‑focused visuals, producing automatized standard slides
• Prototype automated reports and dashboards for our cell projects
• Gather, clean, and analyze large-scale, heterogeneous big data (text, tables, time series) with scalable, reproducible pipelines
• Create short “How‑to” guides and prompt templates so colleagues can reuse your AI workflows

• Enrolled Master’s student in Economics, Data Science, Industrial or Mechanical Engineering, Business, Public Policy, Computer Science, Chemistry/Chemical Engineering, or a comparable field
• Solid experience with LLM‑based AI assistants and agentic workflows, including prompt engineering, tool use, retrieval‑augmented generation (RAG) and multi‑agent routing/critique
• Applied experience in building predictive models and time-series forecasting, utilizing a spectrum of methods from classical Machine Learning (e.g., Gradient Boosting) to advanced neural networks for sequence and text processing
• Confident in PowerPoint and executive-style slide writing
• Structured thinking and excellent written communication
• Comfortable handling multiple tasks with a solution‑oriented, analytical approach
• Fluent in English; German is a good benefit

• Diverse work environment with strong team-spirit
• Project ownership through which you can actively take part in shaping the future of e-mobility
• Health and wellness programs
• Regular social events
• Corporate Benefits