Assistant professor Designing for Systemic Change on Societal Challenges within the Systemic Change group
'Systemic Change uses design and technology to study socio-technical systems at the level of a community, by designing interventions addressing societal challenges and analyzing their effect on the eco-system'. The Systemic Change cluster focuses on designing innovations that have impact on systemic structures and groups of people, ultimately aiming to address large-scale issues such as urban health, future mobility and sustainability. Field data is used in novel iterative and circular research-through-design processes involving strategic alliances of stakeholders.
Specific qualities for this position:
- Study and design smart objects and systems of smart things
- Embedding AI and ML in tangible and embodied interaction
- Versatility in algorithms, ML paradigms and fluency in state of the art ML technology for the purpose of sensing and information processing
- Implementing AI in expressive designs, as an interplay of materiality, interaction, and computation
- Study the nature of both centralized and distributed intelligence in designs and systems of smart things
- Studying interactive recommender systems and context awareness in application domains such as healthcare, learning and automotive.
- Multi-Modal interfaces (speech, gesture, physiological sensing, etc.)
- Human in the loop machine learning and AI