Automated SoC Generation with AI — Space & AI (Working Student, m/f/d)

Role Overview

• Extract requirements from various documents and consolidate them into a structured format
• Automatically detect individual requirements and assign unique identifiers
• Intelligently group similar or identical requirements
• Analyze responses from existing SoCs and correctly map them
• Build a dataset that enables automatic generation of new SoCs using AI
• Goal: develop a system that learns from existing data and makes future projects more efficient, faster, and smarter.

Requirements

• Enrolled in a degree program in Computer Science, Software Engineering, or a related field
• Some experience with Python or a similar programming language
• Interest in Artificial Intelligence (AI), Machine Learning, or NLP
• Basic understanding of data structures and databases
• Curiosity about complex technical systems (space/spaceflight experience is a plus but not required)
• Enjoy analyzing problems independently and developing solutions
• Nice to have: experience with NLP frameworks (e.g., spaCy, Transformers)
• Experience handling unstructured data (e.g., PDFs, text documents)
• Initial exposure to requirements engineering

Tech Stack

• Python

Benefits

• Work on a real-world use case — not a demo project
• Direct impact on the efficiency of future space projects
• Combination of cutting-edge AI and challenging engineering practice
• Plenty of room for your own ideas and experiments