Project Study with Proxima Fusion.
📌 Key facts
💡 Background
Proxima Fusion is
💼 Your Role
Learning content is one of the most powerful levers Celonis has to enable Celonauts, customers, and partners. But the volume, variety, and velocity of content needed keeps growing faster than it can be produced by hand. Also, as business needs change, it is important the content offered is relevant and tied to those needs. Generative AI now makes it possible to rethink how learning content is designed, drafted, maintained, and personalized, while keeping instructional quality and human expertise at the center of the process.
Together with the Celonis Talent Development team, your project team owns the question end to end:
How can generative AI augment the learning content creation workflow to produce high-quality learning experiences faster, more consistently, and tailored to the different learner needs?
You'll get hands-on exposure to how a world-class enablement team works, and the chance to shape practical AI assisted workflows that could change how learning content is created across Celonis.
🎯 Your Goals
- Research the current state of the art in generative AI for learning, instructional design, and content creation — including tools, techniques, and best practices
- Map the current content creation process and identify opportunities where AI can add the most value while maintaining quality and consistency.
- Identify and prioritize high-value use cases (e.g., turning source documents or materials into micro-learning, drafting scripts and storyboards, generating quizzes and assessment items, supporting localization and translation, refreshing outdated content, creating facilitator guides or other support resources)
- Design and prototype an AI-assisted learning content creation workflow
- Evaluate the results by considering content quality, relevance, instructional effectiveness, time and effort saved, usability for content creators and opportunities for personalization.
- Define recommendations and guardrails for responsible AI adoption, including accuracy, human review, accessibility, brand voice, and governance.
- Pilot the workflow on a real learning program and measure the impact
🎓 Your Profile
- You're genuinely curious about generative AI and excited to apply it to a real business challenge
- You bring the bias-to-action of an entrepreneur and enjoy building new things from scratch, including the ambiguity of an unsolved problem
- You're interested in learning, enablement, instructional design, user experience or knowledge management
- Experience with AI tools, prompt engineering, no-code automation, or basic scripting helpful but not required)
- You are comfortable collaborating with different stakeholders and translating ideas into practical solutions
- Your enthusiasm is contagious and you can win people over
📄 Requirements
- Duration: 3-4 months
- Starting date: September - November 2026
- Group: 3–5 students
- Language: Exceptional English skills are essential, as you will work in a group of international stakeholders
📝 How to Apply
If you are interested, please contact Philipp Sonnenschein and Julien Warnery via email (Subject: Application TUM Proxima Fusion Project Study - [Name]) by submitting your CV and grade report. Please also outline your relevant experience (technical and commercial) and your ideal start date.
We're greatly looking forward to hearing more about you!
🗨️ Contact
Philipp Sonnenschein (Chair for Strategy & Organization)
Julien Warnery (Proxima Fusion)