Hybrid Working Student – Data Science, Natural Language Processing

at Fraunhofer IIS

• Job title: Working Student – Data Science, Natural Language Processing
• Job type: Part Time
• Experience level: Entry level
• Salary: Not specified
• Degree requirement: Postgraduate Degree
• Tech skills: ETL, Flask, Numpy, Pandas, Python, Scikit-Learn
• Location requirements: Hybrid, Nurnberg, Germany

About the role

• Werkstudent*in in Data Science und Natural Language Processing bei Fraunhofer, tätig in KI-gestütztem Wissensmanagement und innovativer KI-Lösungsentwicklung.

Responsibilities

• Our "Innovation & Transformation" department works, among other things, on AI-supported knowledge management in research and industry projects.
• The focus areas are Human-AI interaction and Smart Circular Economy.
• In this context we develop automated systems for knowledge extraction, knowledge management and decision support that we provide to companies and public organizations.
• You will work with the latest technologies in industry and research projects, especially in the areas of generative AI, machine learning and transformer models.
• You will assist in developing innovative AI solutions using large language models (LLMs) such as GPT-5, BERT or Google Gemini.
• You will convert unstructured, domain-specific data into vector databases and build application-oriented RAG systems (Retrieval-Augmented Generation).
• You will use fine-tuning, prompt engineering and other techniques to maximize the accuracy and performance of LLMs.
• You will support data integration, ETL processes as well as the modeling and structuring of knowledge.
• You will develop web applications and interfaces for chatbot systems and knowledge management tools.
• You will actively help interpret data and contribute ideas for new AI use cases.

Requirements

• You are enrolled in Business Informatics, Computer Science, Software Engineering, Data Science, Artificial Intelligence or a comparable degree program (at least in the first semester of a Master’s program).
• You have initial practical experience in machine learning, AI algorithms and natural language processing.
• You have strong programming skills in Python, including libraries such as pandas, scikit-learn, numpy and transformers.
• You have knowledge of RAG methods (text preprocessing, chunking, semantic search (FAISS), reranking, output tuning) and agentic AI frameworks (LangGraph, LangChain or similar).
• You are familiar with developing web applications (Flask, Streamlit, REST APIs).
• You enjoy working in a team and demonstrate a strong willingness to learn and commitment.
• You are interested in a long-term collaboration (at least 6 months).

Benefits

• Shape your schedule: Benefit from flexible working hours that fit perfectly with your studies.
• Join a creative team: Experience an open and collegial working atmosphere where your ideas are valued.
• Variety that inspires: Look forward to diverse tasks that challenge and inspire you.
• Contribute to the future: Take part in application-oriented research and apply your theoretical knowledge in practice.
• Inspiring innovations: Work on exciting and forward-looking projects that make a real difference.