The 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.
Job description Research: For this position, we are looking for a motivated colleague who will work on designing and evaluating solutions to overcome human factors issues in the domain of automated driving, such as trust and acceptance, shared control, situation awareness, automation surprise, perceived safety, uncertainty and the interaction between autonomous vehicles and pedestrians, cyclists and manually driven vehicles. Within these themes, issues such as inclusivity, AI, data, methodologies, regulations, and ethics play a potential role.
The candidate should have a PhD degree, building on a background in Industrial Design, Interaction Design, Human-Technology Interaction, Cognitive Psychology or Human Factors with a strong affinity with user experience research, design research methodologies and design as solutions for complex HMI challenges such as mode confusion, automation surprise, discomfort, overload, distraction, trust calibration and perceived uncertainty and perceived safety. Having a track record in automative (design) research is preferred, preferably with a good international reputation as evident from a range of high standing publications, participation in conferences and events and publications in the automotive design and research community.
Education: The candidate should be able and motivated to contribute to the bachelor and master program (e.g. our course Automotive Human Factors), demonstrate ability to create links between education and research, take an active role in coaching students in our Future Mobility Squad and guide final bachelor and master students, also together with other departments at the University (e.g. IE&IS).