Job: Delft University of Technology – Assistant/Associate Professor in Man-Machine Interaction

Job description

The Assistant/Associate Professor will focus on performing research in the Cognitive Engineering subfield of MMI, and supervising PhD students in this field. She or he will be responsible for teaching in the area of Man-Machine Interaction and supervising interns, Bachelor’s and Master’s students. The appointee will be responsible for management tasks, acquisition of research projects, and valorisation. The appointee will support and work closely with Prof. I. Heynderickx on topics in the area of display- and lighting-related applications for consumer well-being. Examples of current areas of research are applications for Internet TV, the creation of social experiences, and atmosphere creation with light. For these research topics the appointee will collaborate with Dr. Ir. W.-P. Brinkman and Dr. Ir. P. Wiggers of the MMI group.


Applicants should hold a PhD degree and have experience in and knowledge of the areas of applied visual perception and user-centred design. The applicant is capable of commununicating with developers of intelligent interfaces and systems. Candidates must have a solid track record of scientific research as evident from international publications. We are seeking a person with good communication skills and the capability of building and maintaining an international network of scientific and industry contacts. Experience in the development and teaching of university courses is appreciated, but beginning teachers may also apply. In addition, applicants should be flexible, multidisciplinairy and motivated to work on collaborative projects in the group, considering both applied and fundamental technology-oriented research with societal relevance. Delft University of Technology is a bilingual organisation. A good command of English (written and spoken) is essential. The candidate should speak Dutch or be willing to learn it.

Conditions of employment

The appointment is on a tenure-track basis (up to 5 years) with the prospect of a tenured position based on a successful evaluation. The salary for a full-time Assistant Professor is based on scale 11 and 12 (max. € 4.970,- gross per month). The Associate Professor salary is based on scale 13 and 14 (max. € 5.920,- gross per month). TU Delft also offers an attractive package of fringe benefits, such as a flexible working week, a free ADSL connection at home and the opportunity to compile an individual remuneration package via the Individual Terms and Conditions of Employment Options. Benefits and other employment conditions are in accordance with the Collective Labour Agreement for Dutch universities. TU Delft strives to increase the number of women in higher academic positions; women are therefore especially encouraged to apply. TU Delft sets specific standards for the English competency of the teaching staff. TU Delft offers training to improve English competency. For more information about this position, please contact Prof. dr. C.M. Jonker, phone: +31 (0)15-2781315, e-mail: To apply, please e-mail a detailed CV, at least three references and five key publications along with a letter of application by 1 March 2010 to: When applying for this position, make sure to mention vacancy number EWI 2010-02. TU Delft is an equal opportunity employer.

Contract type

Tenure track


Delft University of Technology

Delft University of Technology (TU Delft) is a multifaceted institution offering education and carrying out research in the technical sciences at an internationally recognised level. Education, research and design are strongly oriented towards applicability. TU Delft develops technologies for future generations, focusing on sustainability, safety and economic vitality. At TU Delft you will work in an environment where technical sciences and society converge. TU Delft comprises eight faculties, unique laboratories, research institutes and schools.


Electrical Engineering, Mathematics & Computer Science

The Department of Mediamatics comprises the media-oriented computer science groups in the Faculty of EEMCS, and is responsible for a large part of the curriculum of the BSc variant and the MSc programme in Media and Knowledge Engineering. The department consists of four groups: Man-Machine Interaction, Computer Graphics, Pattern Recognition and Bioinformatics, and Multimedia Signal Processing. The mission of the department is to earn international recognition for its excellent teachers and researchers in the field of processing and interpretation of data with model- and knowledge-based algorithms. Our goal is to enable man and machine, in close co-operation with their intelligent environment, to deal with the increasing volume and complexity of data and communication. The section’s mission is to engineer adaptive intelligent systems to create intended user experiences. We consider the entire chain from analysis, modelling and system design to implementation and evaluation. Our research focuses on the combination of the research disciplines (1) Artificial Intelligence (AI), including research on the themes of agent reasoning and programming and computational intelligence, and (2) Cognitive Engineering (CE), including the research themes of user-centred design and human perception. Our areas of application include negotiation, incident management, lifestyle experience, and health care. The group currently comprises nine faculty members, four post-docs, and 17 PhD students. The group runs an Experience Lab equipped to perform, among other things, perception, psychophysical, behavioural and collaborative experiments. Within the Bachelor’s and Master’s programmes in the areas of man-machine interaction and artificial intelligence, we are responsible for teaching computer science and media and knowledge engineering. Teaching comprises lecturing, giving tutorials and supervising (individual) student projects.

Additional information for this vacancy can be found at

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