Deutsch Intern
    Data Science Chair

    Open Position for Doctoral Researchers (m/w/d) LLMs and Multi-Agent Systems for Cyber Security

    We invite applications for a PhD position focused on the intersection of large language models (LLMs), multi-agent systems, and domain knowledge integration.

    Project & Research Focus

    The position focuses on developing and analyzing methods for building modular, agent-based LLM architectures capable of effective knowledge representation, reasoning, and collaboration. A central objective is to advance methods that enable LLM-based agents to interact, coordinate, and access structured domain knowledge in technical, industrial, or cyber-security-relevant settings.

    Research topics may include:

    • Multi-agent collaboration and communication with LLMs
    • Domain knowledge integration and structured retrieval for language models
    • Dialogue systems and expert AI agents for technical domains
    • Modular LLM architectures and agent-based simulation

    This position offers the opportunity to work on fundamental and applied research at the interface of machine learning, natural language processing, and multi-agent systems.

    About Us

    The Chair of Data Science is a diverse and dynamic research group and part of the Center for Artificial Intelligence and Data Science (CAIDAS) at the University of Würzburg. We conduct research in a wide range of domains within Data Science and Deep Learning, including language models, climate modeling, security research, and knowledge integration in large language models.

    What We Offer

    • A collaborative and supportive team environment
    • Access to high-performance computing resources at both university and national levels
    • Opportunities to attend and present at international conferences and workshops
    • Freedom to develop and pursue your own research ideas
    • Full-time position (100%, TV-L E13 salary scale)
    • Involvement in research, teaching, and interdisciplinary collaborations
    • Flexible working hours and options for partial remote work

    Your Profile

    • Master’s degree in Computer Science, Artificial Intelligence, Mathematics, Physics, or a related field
    • Strong programming skills in Python; experience with deep learning frameworks (preferably PyTorch)
    • Solid understanding of machine learning, deep learning, NLP, or multi-agent systems
    • Substantial knowledge or strong interest in cyber security is highly desirable
    • Motivation for independent and innovative research, strong analytical skills, and teamwork orientation
    • Proficiency in English (spoken and written);  basic German language skills

    Application

    Please send your complete application (CV, cover letter, relevant certificates, publications or thesis if available, etc.) as a single PDF via email to:

    Prof. Dr. Andreas Hotho
    Chair of Data Science, Department of Computer Science
    University of Würzburg
    dmir-jobs@uni-wuerzburg.de