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.
Job title
Working Student – Data Science, Natural Language Processing
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