Academic Staff Member, Trustworthy AI Applications | Akademischer Mitarbeiter -Vertrauenswürdigen KI-Anwendungen in neuen Arbeits- und Lernwelten (m/w/d)

Job Summary

This role seeks an Academic Staff Member to drive cutting-edge research into the development and implementation of Trustworthy AI Applications within evolving work and learning environments at a major University of Applied Sciences. The core responsibilities involve socio-technical analysis of AI design options, specifically focusing on creating eXplainable AI (XAI) systems that ensure transparency for both IT experts and non-technical users. The successful candidate will also conceptualize the responsible use of Large Language Models (LLMs) in knowledge management and learning applications, aiming to minimize 'hallucinations,' and design intelligent AI agents that enhance collaborative problem-solving between humans and AI. This position requires a Master's degree in fields such as Computer Science, Data Science, or Cognitive Sciences, coupled with a strong interest in interdisciplinary work and proven ability to publish research findings in both German and English. The university offers a meaningful, future-oriented role with flexible working hours and significant professional development opportunities.