Supports planning and organization of research projects in Human AI-Interaction at Fraunhofer Institute. Involves interdisciplinary teamwork and various research methodologies.
Responsibilities
You support the planning and organization of research projects in Human AI Interaction through thematic literature reviews and study design.
You design and create questionnaires, workshop concepts, interview guides, (results) presentations, and written materials for the various target audiences in our research projects.
You accompany us in the field and assist with conducting interviews and workshops.
You perform qualitative and quantitative analysis of research results and support documentation.
You prepare data for visualizations and contribute to the conception and implementation of interactive dashboards and reports (e.g., using Python, Power BI, or similar).
Requirements
You are studying Psychology, Sociology, Human Factors, Cognitive Science, Human–Computer Interaction, Business/Media Informatics, or a comparable program, preferably at Master's level.
You have initial experience in qualitative and/or quantitative data collection and analysis and are familiar with SPSS and/or R and, ideally, MAXQDA.
You have basic programming knowledge, preferably in Python, and ideally first experience in data visualization and dashboards (e.g., matplotlib, Plotly, Dash, Power BI, or similar).
Ideally, you have already worked with online survey tools and collaboration/visualization tools.
You work independently, are flexible, and reliable.
You have excellent English and fluent German language skills.
You are interested in a long-term collaboration (at least 6 months).
Benefits
Flexible schedule: Benefit from flexible working hours that are easy to combine with your studies.
Be part of a creative team: Experience an open and collegial working atmosphere where your ideas are valued.
Variety that inspires: Enjoy diverse tasks that will inspire and challenge you.
Help shape the future: Take part in application-oriented research and put your theoretical knowledge into practice.
Work on inspiring innovations: Contribute to exciting, forward-looking projects that make a real difference.
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