The ideal candidate will have qualifications in city planning or related discipline. The candidate will have a deep knowledge of planning systems, processes and ideally professional experience working as a city planner in one or more jurisdictions. The candidate will also have skills and training in smart cities, GIS city analytics. Specifically, the candidate will have a strong working knowledge of digital cities, spatial analysis, computing programming, open source geospatial software, and the ability to work with various types of city data including open data, spatial data and big data. Importantly, the candidate will have skills to critically examine existing planning support systems, identify limitations and bottlenecks and develop a proof-of-concept system to be evaluated. The ideal candidate will also be passionate about developing innovative data-driven solutions for realising sustainable, liveable, productive and resilient city futures.
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In an era of rapid urbanisation there is a critical need for research into the design of smart planning evaluation systems. This research aims to develop and evaluate planning support systems that can improve transparency, accountability and efficiency in planning future smart and liveable cities. The research will establish principles for the design of smart planning evaluation, with consideration to the state of existing systems, availability of input data, transparency of algorithms and communication of automated analysis, including its limitations. This project will build and test an open-source planning support system across three case study cities: Sydney, London and Phoenix.
City Futures Research Centre
Arizona State University
Faculty of Social Sciences