项目介绍

2026年10月26日

Your responsibility

The position involves basic and applied research on the modeling and experimental investigation of situated decision-making processes in human-technology contexts within the medical domain, particularly in human-AI teams. The aim of our research is to better understand and improve decision-making processes in time-critical, uncertain, and high-risk situations, using medical decision-making scenarios as a case study.

A particular focus lies on:

• Emergency decision-making by laypeople (e.g., when using symptom checkers)
• Triage decisions made by experts in collaboration with AI systems
  Additional responsibilities include:
• Independent development, execution, and publication of interdisciplinary research projects
• Independent development (and further development) of mixed-methods approaches (e.g., through AI-supported analysis of qualitative and quantitative data)
• Contribution to grant proposals
• Teaching within the MSc Human Factors program, covering quantitative and experimental study designs (or other selected methodologies), as well as decision theories and their fields of research and application

Your profile

• Successfully completed university degree (Master, Diplom, or equivalent) in Psychology/Human Factors, Cognitive Science, Computer Science, or related disciplines is required
• The ability to teach in German and/or in English is required; willingness to acquire the respective missing language skills
• Solid knowledge of decision theories and/or experimental laboratory and field research are expected
• Solid methodological expertise in the application of quantitative data analysis methods are expected
• Experience conducting research in medical/technical application domains and/or decision-making contexts are desirable
• Experience in teaching is desirable
• Experience with mixed methods and/or qualitative social research methods are desirable
• Experience with and interest in the AI-based analysis of quantitative and/or qualitative data
• Interest in interdisciplinary collaboration desirable
• Experience in preparing grant applications (third-party funding) is desirable
• A passion for abstract thinking and intellectual discussion is desirable