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.
- cCreativity 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.
Job descriptionAs an Assistant / Associate Professor you will contribute to the department through both research and education.
Research: Technologies for healthy living and healthcare increasingly rely on self-tracking, facilitated by wearable sensing technologies. Such technologies can support communication with health professionals, personal health informatics for recreation, and behavior change interventions for health prevention and care. The benefits for users can be related to physical or mental health, and can concern the individual and the societal level. A cornerstone to all these applications is obtaining high quality data, cleaning and compressing data to make it usable, managing data to ensure privacy and trustworthiness. The department is looking for candidates interested to lead developments in embedding sensors in wearable devices, adapting and applying digital signal processing methods and AI techniques for machine learning, to create novel interactive applications, supporting topics such as crowd sensing and citizen science in areas relating to health and well-being and for the energy transition.
Education: You will contribute to our educational expertise in Technology & Realization and Math, Data & Computing through courses at bachelor's and master's level in topics related to human-centred artificial intelligence, and creative electronics. Furthermore, education tasks involve coaching projects at bachelor and master's level, linking research developments in the area of interest of the candidate to application domains and societal contexts relevant to the department, e.g., healthcare, education, automotive, sustainability, and social inclusion.