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: No Education Requirement
• Tech skills: ETL, Flask, Numpy, Pandas, Python, PyTorch, Scikit-Learn
• Location requirements: Hybrid, Nuremberg, Germany

About the role

• Working Student at Fraunhofer Institute for Integrated Circuits IIS developing AI solutions in Data Science and NLP. Focusing on innovative applications and cutting-edge technologies in generative AI and machine learning.

Responsibilities

• Work with latest technologies in industrial and research projects, focusing on generative AI, machine learning, and transformer models.
• Develop innovative AI solutions using Large Language Models (LLMs) such as GPT-5, BERT, or Google Gemini.
• Transform unstructured, domain-specific data into vector databases and build application-oriented Retrieval-Augmented Generation (RAG) systems.
• Apply fine-tuning, prompt engineering, and other techniques to maximize the accuracy and performance of LLMs.
• Support data integration, ETL processes, and the modeling and structuring of knowledge.
• Develop web applications and interfaces for chatbot systems and knowledge management tools.
• Actively contribute to data interpretation and bring ideas for new AI use cases.

Requirements

• Currently pursuing a Master’s degree (minimum 1st semester) in Computer Science, Business Informatics, Data Science, Artificial Intelligence, or Software Engineering.
• Initial practical experience in Machine Learning, Generative AI, Natural Language Processing (NLP), and AI algorithms.
• Strong programming skills in Python, including proficiency in libraries such as pandas, numpy, scikit-learn, transformers, PyTorch, sentence-transformers, and spaCy.
• First experience or keen interest in Retrieval-Augmented Generation (RAG) and Agentic-RAG, including text preprocessing, chunking, embeddings, semantic search, reranking, and output tuning.
• Initial experience in developing web applications and APIs using Flask, FastAPI, Streamlit, or REST APIs.
• Confident use of modern development environments/IDEs (e.g., Visual Studio Code).
• Reliable team player with a high motivation to learn and strong engagement.
• Interest in a long-term collaboration (minimum 6 months).

Benefits

• Flexible working hours that are perfectly compatible with your studies.
• Open and friendly working atmosphere in which your ideas are valued.
• Variety of tasks that inspire and challenge you.
• Application-oriented research experience.
• Opportunity to write a master's thesis in cooperation with the institute.