About this role

Investigate academic emotions and emotional well-being in technology-mediated learning
Plan and implement data collection in real-world learning contexts
Process and analyze wearable-sensor data
Conduct statistical modeling and analyses of collected multimodal data
Publish results in high-quality international scientific journals
Support project coordination and administration as agreed
Collaborate with a multidisciplinary research group
Mentor and supervise as agreed

PhD in a relevant field (e.g., educational sciences, psychology, cognitive science, health sciences/biomedical engineering, data science)
Expertise in psychophysiological measurement and/or wearable-sensor data analysis
Strong interest in studying emotions and well-being in technology-mediated learning
Excellent written and spoken English
Strong communication and collaboration skills
Experience with multimodal data integration
Demonstrated experience of methodological development

Postdoctoral Researcher – AI-EMOTION

Key skills