Eindhoven University of Technology (TU/e): Where innovation starts, and people matter! TU/e is a young university, founded in 1956 by industry, local government and academia. Today, this spirit of collaboration is still at the heart of the university community. We foster an open culture where everyone feels free to exchange ideas and take initiatives.

TU/e offers academic education that is driven by fundamental and applied research. Our educational philosophy is based on personal attention and room for individual ambitions and talents. Our research meets the highest international standards of quality. We push the limits of science, which puts us at the forefront of rapidly emerging areas of research.

Eindhoven University of Technology combines scientific curiosity with a hands-on mentality. Fundamental knowledge enables us to design solutions for the highly complex problems of today and tomorrow. We understand things by making them and we make things by understanding them.

Our campus is in the center of one of the most powerful technology hubs in the world: Brainport Eindhoven. Globally, we stand out when it comes to collaborating with advanced industries.

Together with other institutions, we form a thriving ecosystem with one common aim – to improve quality of life through sustainable innovations. The TU/e puts emphasis on knowledge valorization: research results are translated into successful innovations and serve as a basis for creating new products, processes and enterprises.

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:

  • Reputation in research through design, user experiences, real-life data acquisition and representation, and interdisciplinary approaches
  • Track-record in design conferences (CHI, DIS, TEI, …) and top-ranked journals
  • Ambitious research facilities for making, realizing and testing prototypes in a real-life context
  • Innovative and productive collaboration between research, industry and education

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, …).

Functie eisen

  • A relevant PhD degree (industrial design, computer science/engineering or a comparable domain).
  • Ability to conduct high quality academic research, demonstrated for instance by a relevantPhD thesis and/or publication(s).
  • Experience with designing in the context of “vital life”
  • In-depth knowledge, skills and experience of and inadvanced data analytics, such as AI/ML,
  • Ability to teach, shown by experience or assistance in teaching and positive evaluations of these teaching efforts.
  • Creative and dedicated to interdisciplinary collaboration.
  • Good communication and leadership skills.
  • Excellent proficiency (written and oral) in English.
  • Experience in acquiring grants will strengthen your application.


  • A meaningful job in a dynamic and ambitious university with the autonomy to develop your own research line and participate in the curriculum of the department.
  • ATenure Trackof five years with the prospect of becoming Associate Professor. After a maximum of four years the tenure decision will be made.
  • You will have free access to high-qualitytraining programsfor academic leadership, the university teaching qualification program, research and valorization competences, and a dedicated mentoring program to help you get to know the university and the Dutch (research) environment.
  • Salary and benefits are in accordance with the Collective Labor Agreement for Dutch Universities.
  • Additionally, an annual holiday allowance of8% of the yearly salary, plus a year-end allowance of 8.3% of the annual salary;
  • A broad package of fringe benefits, including an excellent technical infrastructure, moving expenses, and savings schemes.
  • Family-friendly initiativesare in place, such as the Dual Career Opportunity program to support accompanying partners, an international spouse program, and excellent on-campus children day care and sports facilities.

More information

Do you recognize yourself in this profile and would you like to know more? Please contact Prof. dr. Steven Vos,S.Vos@tue.nlor Prof. dr. ir. Aarnout

For information about the procedure or terms of employment, please contact mrs. Cecile Gijsbers,cgijsbers@tu/, tel. ++31651164692.

Are you inspired to know more about working at TU/e? Please


We invite you to submit a complete application by using the ‘apply now’-button on this page.The application should include a:

  • Cover letter in which you describe your motivation and qualifications for the position.
  • Curriculum vitae, including a list of your publications and the contact information of three references.
  • List of five self-selected ‘best publications’.
  • Description of your scientific interests and plans (1-2 pages).
  • Statement of your teaching goals and experience (1-2 pages).

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.