- Are you inspired by the challenge of urban planning design models and methods to specific planning domains (public space, infrastructure, retail, jobs, housing, and public facilities)?
- Are you fascinated by going beyond the teaching methods and planning concepts, by focusing on the planning of sustainable built environments that cater to the diverse characteristics, preferences, needs, and activity patterns of individuals and communities?
- Do you see yourself as our next Assistant Professor in the Chair of the Urban Planning and Transportation Group?
- Are you eager to supervise BSc and MSc students and co-supervising PhD candidates, and teach lectures/courses and supervise student projects at the Bachelor and Master level?
- Are you passionate about contributing to state of the art theories and methods, applying advance modelling to real world problems?
Job descriptionUrban planning refers to a scientific approach to support multi-objective decisions concerning the location, size, and quality of a set of interconnected land uses; and this considers environmental, societal, cultural and economic perspectives, and people's preferences, needs and behavior. The scientific orientation is reflected in theories, concepts, and modeling approaches that may be used to guide these location decisions. This in turn quantifies the demand for land use and assesses the impacts of plans, together with a set of supporting methods and models that support the plan development and implementation process. State of the art theories, methods and advanced modelling to real world problems!
Urban planning is closely related to transportation planning. The change in the spatial distribution of demand and facilities has a direct impact on generated and attracted traffic, while in turn traffic volumes influence the feasibility of land use patterns and facilities.
Recent years have witnessed an increased policy focus on safe and healthy living environments promoting the development of urban planning and designs to support such policies. The development of digital twinning and mixed-reality (in particular VR) facilities has enabled new ways to support the generation of various urban forms and planning. This allows citizens to evaluate and co-create the new design and planning solutions in a semi-real world context. Moreover, it has been widely recognized that due to the complexity of the urban system, any (urban) planning and policy can have secondary and higher order effects which are essential to be understood. Digital twining of built environment provides the opportunity for examining and communicating the effects of planning and policies to a large group of stakeholders.
You are expected to develop and maintain an accurate overview of the state of the art (intersection of urban planning, VR experiments, digital twining, big data and machine learning); as well as recent developments in this field of study in academics and urban planning practice, plus help students to apply this knowledge and skills set through a series of lectures and projects.