The post doctoral researcher will seek to advance a recently developed interdisciplinary systems model (the Urban Systems Abstraction Hierarchy) which connects designed and ‘non-designed’ infrastructure to its intended societal and sustainability outcomes. The work is led by the EFI Centre for Future Infrastructure and will explore urban system resilience, data systems connecting engineering, social sciences, public sector and geosciences, to understand the needs of future urban infrastructure.
The successful candidate appointed will conduct research in the area of machine learning (AI) and computer vision for health in the Research Institute for Digital Communications (IDCOM) and participate in teaching and administration in Electronics and Electrical Engineering, contributing to the intellectual wealth and collegiate environment of the School of Engineering.