Master Thesis - Development of Trustworthy Agentic AI (f/m/div)

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Your role Key responsibilities in your new role Experience research: You conduct a comprehensive literature review on Agentic AI, AI safety, trustworthiness frameworks, uncertainty quantification, AI governance, and autonomous agent architectures Holistic overview: You analyze current architectural vulnerabilities, security risks, and limitations of existing trustworthiness mechanisms in operational AI agent systems Shape the future: You develop and evaluate trustworthiness approaches for a baseline domain-specific AI agent and assess their effectiveness in mitigating hallucinations and unsafe behavior Be Creative: You prototype novel trustworthiness mechanisms such as uncertainty-aware reasoning, semantic traceability, neuro-symbolic guardrails, runtime validation, and zero-trust execution logging Take responsibility: You define and evaluate quantitative metrics including hallucination detection accuracy, auditability, compliance verification, uncertainty calibration, and system performance overhead Keep your colleagues informed: You present research findings, recommendations, and future directions to AI and technology teams Stay up to date: You monitor emerging developments in Trustworthy AI, AI Safety, Agentic AI, and AI Governance to incorporate state-of-the-art approaches into your work

Your profile Qualifications and skills to help you succeed Study Field: You are currently in the final stage of your Master's studies in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Electrical Engineering, or a related field Interests: You have a strong interest in Generative AI, Large Language Models (LLMs), AI Agents, Trustworthy AI, AI Safety, or AI Governance (Work) experience: You have practical experience with Python and modern AI/ML frameworks such as PyTorch, TensorFlow, LangChain, LangGraph, or similar technologies Work Style: You enjoy analytical thinking, conducting independent research, and translating theoretical concepts into practical implementations Personality: You bring curiosity, initiative, and a structured approach to solving complex technical challenges in a research-driven environment Skills: You ideally have knowledge of uncertainty quantification, explainable AI, AI compliance, knowledge graphs, agent architectures, or software security Language Skills: You are fluent in English; German language skills are considered a plus

Please attach the following documents to your application

CV in English Certificate of enrollment at university Excerpt of the study regulations for the thesis (if applicable) Latest grades transcript (not older than 6 months) High school report

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Anne Bergner