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The Cognitive Robotics department at TU Delft seeks to fill a faculty position in the area of data fusion for intelligent vehicles at the level of Assistant …
Due to retirement of the current chair holder, the Department of the Built Environment, Eindhoven University of Technology invites applications for a vacant full professorship (Chair) in urban & transportation planning.
The Department is searching for an inspirational, creative academic of international standing, who embraces multidisciplinary collaboration and will take the leadership in the transition of the Urban Planning Group in its development of the next generation of land use and travel demand forecasting models, and decision support tools and solutions, challenged by the emergence of new concepts such as shared economies, digital societies, big data and automated driving in the context of smart cities and smart mobility.
The Department of the Built Environment aims at contributing to the creation of high quality built environments through its educational and research activities. Activities relate to different levels, from cities to buildings and building components, and from integrated plans and designs to the focus on particular aspects. The Department is organized into four units: structural design, building physics, architecture and urban design, and urban systems and real estate.
The Urban Planning Group is one of three groups that in close collaboration constitutes the unit Urban Systems and Real Estate. The unit combines all teaching and research activities that are concerned with integrated urban planning and the planning and maintenance of large scale land development and real estate projects. Students are educated for positions in planning agencies, major engineering, land/property development and real estate firms, and specialized consultancy firms in urban development and transportation engineering.
The Urban Planning Group, the Information Systems in the Built Environment Group and the Real Estate Management & Development Group closely collaborate and coordinate their research activities in the context of the DDSS (Design and Decision Support Systems) research program. The program reflects the shared vision and interest of the three groups of evidence-based planning and design processes. Research activities focus on developing models, decision support tools and supporting innovative data collection technology that predict the likely performance of plans, designs and solutions in terms of a wide variety of performance indicators, including economic impacts, environmental impacts, social impacts and quality of life.
The Urban Planning Group currently has three Associate Professors, four Assistant Professors, three support staff and about 30 PhDs and postdocs. The disciplinary background of the faculty members ranges from urban planning, to civil engineering, operations research, urban design, geography and transportation engineering. Members originate from Netherlands, China, Korea, France and Iran. The basic philosophy of the group is that ultimately people and organizations define the quality of the built environment in their use of the environment. Hence, research is strongly based on theories and models of human preferences and choice behavior as developed in different disciplines, adjusted to the specific domain of application.
The group teaches about urban planning theory, a variety of facet-specific planning concepts and approaches, and planning methods/models. Based on the idea that land use and transportation planning are strongly interdependent, a main course and several lectures are concerned with the relationship between transportation and the built environment, including concepts and models of travel demand forecasting.
Research projects of the group concern residential satisfaction and mobility, retailing, leisure, land use systems, and travel behavior, with the majority of projects focusing on the analyses and innovative modeling of activity-travel patterns and acceptance of new mobilities such as shared systems, electric cars and mobility as a service. Key research topics include (dynamic) activity-based travel demand forecasting; advanced choice modeling under certainty and uncertainty; exploring concepts such as bounded rationality, regret, disappointment, perception and cognition; scheduling and choice models of household decision making; models of social influence; collecting, imputing, fusing and analysis of big data in travel behavior research; parking and pedestrian behavior; omni-channel activity choice behavior, multi-state supernetworks, and life trajectory, lifestyle and quality of life research.