Research Assistant/Associate, University of Cambridge (application due 23 December 2016)

This Smart Design project is a Collaborative Research Project funded via Global Alliance, a collaboration between the University of Cambridge (UCAM), University of California in Berkeley (UCB) and the National University of Singapore (NUS). This one year seed-funding aims to identify and develop new research initiatives in the field of smart urban design with a human-centric focus related to quality of life, health, and wellbeing.
Smart Design refers to a design paradigm in which predictive feedback inspires creativity and innovation. This research focuses on Smart Design to support human-centric planning of urban districts, with an emphasis on health and social equity. This prioritises fundamental human needs over the needs of other agents in the city that compete for status and space, such as cars. One of the key areas where Smart Design can result in significant benefits is in urban design and planning. In particular, what is lacking in current research, including smart technology, are Smart Design processes that enable iterative assessment of possible future urban development scenarios based on predictive feedback to support decision making.
The post-holder will be based at the Department of Architecture, but will liaise and collaborate with their equivalents in UCB and NUS. The core aim of these roles is to develop research strategies with the purpose of identifying and proposing new research projects.
The main deliverables for the overall research initiative are: 1) The production of contextual datasets assembled and documented through field work and crowdsourcing.
2) The specification of conceptual Smart Design processes where predictive feedback informs urban design and planning.
3) The development of prototypes of Smart Design systems and human-centric predictive models.
4) A set of case studies for both defining and demonstrating Smart Design in practical use.
The Cambridge team will focus on the development of evaluative models. The aim is to develop and incorporate human-centric parameters, such as health and social equity, into an urban design analysis framework. The team will first develop analytics that can interpret newly-available person level digital traces from administrative and operational databases and voluntarily contributed sensing data from citizens. Based on this data, the team will then develop agent-based models that aim to give predictive feedback on how citizens adapt their living and working to changes in the built environment. These preliminary evaluative models will be integrated into the systems being developed by UCB and NUS. A case study will demonstrate how these systems and models can be used to assess the impacts that urban design interventions and regulations have on human-centric parameters. UCAM will focus on the impacts on walkability and human comfort, with a focus on the impacts on low income and underprivileged citizens.
In summary, the project will provide a proof-of-concept for a systematic and rigorous way of linking urban design decisions with human-centric parameters, thereby demonstrating the potential to improve quality of life.
Fixed-term: The funds for this post are available for 12 months in the first instance.
To apply online for this vacancy, please click on the ‘Apply’ button below. This will route you to the University’s Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form.
For any further information, please contact Beau Brady:
Please quote reference GC10946 on your application and in any correspondence about this vacancy.
The University values diversity and is committed to equality of opportunity.
The University has a responsibility to ensure that all employees are eligible to live and work in the UK.
Further information and application

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