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 and Human-Computer Interaction. In particular, the department aims to inspire and educate a new generation of design engineers who will be fluent in using AI/ML algorithms and Data. Building on its unique expertise and tradition in the design of interactive systems for the vital life of people, using data and connectivity in-context, with a strong emphasis on the aesthetics of interaction and underlying user experiences, we aim to develop leading expertise in the design of intelligent systems that address the vital life op people in everyday life). Data will play a crucial role both in understanding groups of users in real time and real-world context, and in developing an in-depth and overtime understanding of people in order to provide ultra-personalized service. This position is embedded in the Systemic Change research cluster.
“The Systemic Change cluster focuses on designing innovations that have impact
on systemic structures and groups of people, ultimately aiming to address largescale
issues such as urban health, future mobility and sustainability.”
The Systemic Change cluster investigates technological interventions in the context of contemporary societal challenges, particularly with respect to vital life and social resilience. Our research emphasizes using the data-enabled approach with cross-disciplinary collaborations to develop methods, tools, platforms and living labs for addressing societal challenges and analyzing their effects on the socio-ecological system.
Current qualities of the Systemic Change group:
To further strengthen these competences, the Systemic Change group is looking for a highly motivated and qualified academic with a strong affinity with the understanding of human behavior (related to an active and healthy lifestyle) through data, AI and Machine learning.
We are looking for an aspiring assistant professor who will focus on (i) understanding peoples’ behavior and their contextual factors through advanced data analytics, such as AI/ML, and (ii) use the data to create fundamentally new value propositions and systemic design. The assistant professor should have strong data analytical and data visualization skills, expertise in designing prototypes in the field of vital life (and/or using them to collect data), and experience in working in interdisciplinary teams (social scientists, engineers, designers, …).
Do you recognize yourself in this profile and would you like to know more? Please contact Prof. dr. Steven Vos, S.Vos@tue.nl or Prof. dr. ir. Aarnout Brombacher, A.C.Brombacher@tue.nl.
For information about the procedure or terms of employment, please contact mrs. Cecile Gijsbers, cgijsbers@tu/e.nl, tel. ++31651164692.
Are you inspired to know more about working at TU/e? Please visit www.tue.nl/jobs.
We invite you to submit a complete application by using the 'apply now'-button on this page. The application should include a:
We look forward to your application and will screen it as soon as we have received it. Screening will continue until the position has been filled.