Department of Industrial Design
(ID) is one of the nine departments of TU/e and has an internationally leading position because of its core commitment to research through design
(RtD) and its strikingly original conceptual work
. ID's ambition is to be recognized as one of the top departments in the world that conduct exciting research in the intersection of Design, Technology, Human-Computer Interaction, and Social Sciences and Humanities. In particular, the department aims to inspire and educate a new generation of design engineers who can contribute with their novel designs, their fluency in AI/ML algorithms and data, and their academic critical questioning, to the imminent and complex societal challenges our world is facing nowadays.
The ID education program
is competence-centered, self-directed and challenged-based. ID focuses on educating students to design through five different perspectives (called Expertise Areas), through core courses and electives:
- Math, data and computing.
- User and society.
- Technology and realization.
- Business and entrepreneurship.
- Creativity and aesthetics.
Students also learn to make connections between the different perspectives within project groups called squads. In addition, the ID education curriculum encourages and empowers students to take the ownership of their personal and professional development. Supported by their academic coaches, through ID curriculum and their personal, industrial and research projects, students develop a unique competence of designing and related design approaches individually. Next to self-directed learning and competence development, the educational model of ID is challenge-based. ID students work together on challenging and authentic projects in which multiple perspectives or disciplines are incorporated to solve the challenge (for example by working within interdisciplinary groups) using an entrepreneurial mindset.
At the Industrial Design department we have two research groups: Systemic Change
and Future Everyday
As an Assistant / Associate Professor you will contribute to the department through both research and education.Research:
Building on research traditions concerned with usable security and privacy, user modelling and adaptivity and intelligent user interfaces, this position is aimed at developing technological solutions and design knowledge for ensuring equitability in AI (avoiding exploitation and divides, democratizing access to AI). You are able to bridge between human aspects regarding topic such as the privacy paradox, trust, technology acceptance and more generally cognitive and behavior aspects, and the more technological aspects related to topics such as adaptive user interfaces, user modelling and recommender systems. Research is expected to contribute towards the broader topic of trustworthiness in AI systems, especially aiming to increase user involvement, trust, and motivation, by actively steering AI technologies and ensuring the intelligibility of AI through explanations and the suitable design of feedback and feedforward techniques. Education:
You will contribute to our educational expertise in Math, Data & Computing and User & Society through courses at bachelor's level in topics related to data science and human-computer interaction. At a Master's level you will be expected to contribute to courses bridging between their research interests and the general topic of human-centred artificial intelligence.
Furthermore, about half of the educational duties pertain to coaching design projects at bachelor and Master's level, seeking to link research developments in the area of interest of the candidate to application domains and societal contexts relevant to the department, e.g., social inclusion, sustainability, healthcare, education, smart mobility.