Eindhoven University of Technology

Assistant Professor Data Interaction and Visual Analytics

2024-05-31 (Europe/Amsterdam)
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Position Assistant Professor

Irène Curie Fellowship No

Department(s) Industrial Design

FTE 1,0

Date off 31/05/2024

Reference number V51.7344

Job description

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: You have a design focus on data interaction, visual analytics, and information visualization, a keen sense of data quality and meaningful interactions with data. In Industrial Design, we look for effective and aesthetic ways of presenting large-scale, complex data to diverse audiences and to support various types of users. For this position, we focus on professional users of high-tech systems in the semiconductor, printing, and healthcare industries. This could mean supporting professionals in complex tasks using high-dimensional data streams, providing new views on data using knowledge representation techniques and machine-learning, or connecting organizational data silos to empower stakeholders. In addition, we focus on how data evolves and changes, and how our understanding and sense-making such data will be dynamic, adaptive, and evolving over time. This means strengthening qualities of data interaction to promote design agency in the interpretation of data in and out of a context. You will develop novel concepts and applications, and related design methodology and technologies to support the application of visual analytics in different application domains. You will engage in and lead collaboration projects with industrial stakeholders. You are familiar with current data visualization and data interaction technologies, and you have a track record and strong ambition to contribute to the development of tools, methods and theory, guiding and inspiring designers in this field, and connecting to contemporary data design methodologies such as data-enabled design.

Education: You will contribute to our educational expertise in the areas of “Math, Data & Computing”, “Technology & Realization” and “Creativity & Aesthetics” through courses at bachelor’s and master’s level in topics related to data and information visualization, generative design, designing with data, and visual analytics. Furthermore, education will involve the definition and coaching of student projects at bachelor’s and master’s level, and in our post-graduate Engineering Doctorate program.

Job requirements

  • Motivated researcher, with a PhD in Design, HCI, Computer Science or other related disciplines.
  • Ability to conduct high quality academic research, reflected in demonstratable outputs.
  • Motivated to teach, contribute to teaching processes, and to develop excellent teaching skills.
  • Strong cooperation skills and ability to work in an interdisciplinary team.
  • Effective communication and leadership skills, including coaching and mentoring of students and staff, leading a project or chairing a group.
  • Excellent (written and verbal) proficiency in English. 

Conditions of employment

A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:

  • A Tenure Track of five years with the prospect of becoming an Associate Professor.
  • The opportunity to focus your career on education, research or impact. You can develop your personal ambitions and objections within the strategic objectives of the university. Salary in accordance with the Collective Labour Agreement for Dutch Universities, scale 11/12 (min. €4332 -  max. €6737).
  • A year-end bonus of 8.3% and annual vacation pay of 8%.
  • A dedicated mentoring program to help you get to know the university and the Dutch (research) environment.
  • High-quality training programs for academic leadership and teaching.
  • An excellent technical infrastructure, on-campus children's day care and sports facilities.
  • Partially paid parental leave and an allowance for commuting, working from home and internet costs.
  • A Staff Immigration Team is available for international candidates, as are a tax compensation scheme (the 30% facility) and partner career support.

Information and application

About us

Eindhoven University of Technology is an internationally top-ranking university in the Netherlands that combines scientific curiosity with a hands-on attitude. Our spirit of collaboration translates into an open culture and a top-five position in collaborating with advanced industries. Fundamental knowledge enables us to design solutions for the highly complex problems of today and tomorrow. 

Curious to hear more about what it is like as a professor at TU/e? Please view the video.

Information

Do you recognize yourself in this profile and would you like to know more?
Please contact prof.dr. Lin-Lin Chen, l.chen@tue.nl.

Visit our website for more information about the application process or the conditions of employment. You can also contact Hella Ploegmakers, Recruiter, h.a.m.ploegmakers@tue.nl.

Are you inspired and would like to know more about working at TU/e? Please visit our career page.

Application

We invite you to submit a complete application. 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.
  • Description of your scientific interests and plans (1-2 pages).
  • Statement of your teaching goals and experience (1-2 pages).

We look forward to receiving your application and will screen it as soon as possible. The vacancy will remain open until the position is filled.

Dettagli del lavoro

Titolo
Assistant Professor Data Interaction and Visual Analytics
Sede
De Zaale Eindhoven, Paesi Bassi
Pubblicato
2024-03-21
Scadenza candidatura
2024-05-31 23:59 (Europe/Amsterdam)
2024-05-31 23:59 (CET)
Tipo di lavoro
Salva lavoro

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Informazioni sul datore di lavoro

We are an internationally top-ranking university in the Netherlands that combines scientific curiosity with a hands-on attitude.

Visita la pagina del datore di lavoro

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