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PhD – GeoDesign & Landscape Architecture for Ecological Adaptation

Description

The Landscape Architecture program at the University of Melbourne’s Architecture Building and Planning is working as part of the Centre for SDIs and Land Administration (CSDILA) to collaborate with a large research team on real world engineering applications to conduct research in GeoDesign and Ecological Adaptation.  The University of Melbourne invites potential applicants for postgraduate (PhD) study to participate collaborative landscape architecture and engineering teams integrating design into digital technologies through the Australian Research Council (ARC) Research Hub Resilient and Intelligent Infrastructure Systems (RIIS). RIIS aims to establish spatial planning and design thinking alongside engineering and operational management to deliver transformational adaptive technologies that address Australia’s critical infrastructure transitioning into more climate adapted systems. Graduate students will integrate advances in reliable 3D/4D geospatial models, design thinking, urban data analytics, sensor technology, connectivity, machine learning and robotics to deliver resilient and adaptive infrastructure systems in urban, energy and resources sectors.

Entry Requirements and Scholarships

It is anticipated that successful applicants should meet the following requirements:

  • Applicants must have previous Honours or Masters Qualifications and preferably work experiences in Landscape Architecture, Urban Design or environmental Planning.
  • Applicants should have capabilities of at least one digital technology including 3D Geospatial Data Mapping and Analysis, Ecological Modelling, Spatial Statistics or relevant disciplines.
  • Applicants must demonstrate an interest and focus on research and development of Landscape Architecture and Ecological Adaptation for urban infrastructure.
  • Applicants must demonstrate that they meet the entry requirements for a PhD degree in Landscape Architecture and apply for scholarships at the Faculty of Architecture Building and Planning. The University of Melbourne provides scholarships for academically outstanding applicants. Further details are available at: https://study.unimelb.edu.au/find/courses/graduate/doctor-of-philosophy-architecture-building-and-planning/entry-requirements/

Required Skills

  • Demonstrated strong academic background and skills in Landscape Architecture, geography, geospatial sciences, computer science, environmental planning, ecological modelling or a related discipline.
  • Knowledge of 3D Geospatial modelling, GIS and design thinking.
  • Interest and ability to contribute to cutting-edge research by publishing articles in reputable scientific journals and conferences.
  • Strong time management abilities as well as strong interpersonal and communication (both written and spoken) skills for a broad range of audiences.
  • Self-motivated, highly committed to assigned tasks, and perform independent research activities with some understanding of research methodologies, data collection, and analysis techniques. .
  • Enthusiasm around exploring new ideas and highly adaptive to undertaking new research challenges.

Desired Skills

  • Demonstrated skills in Climate Adaptation Strategies and Performance Metrics, especially in Landscape and Water sectors.
  • Demonstrated Knowledge of advanced spatial modelling (e.g. Network Analysis) and spatial statistics (e.g. GWR).
  • Demonstrated design experience in 3D GIS platforms, e.g., ArcGIS Pro, Arc GIS Urban, and  CityEngine, Rhino, Grasshopper, Digital Twins.
  • Demonstrated Knowledge of Multi-objective Decision Support Systems.
  • Programming and data analysis: Competence in programming languages (e.g., Python, R, or MATLAB) and statistical analysis tools are valuable for handling large datasets, implementing machine learning algorithms, and conducting data-driven research.

How to Apply

In the first place, interested applicants should submit their CV and transcripts (both Masters and Bachelor’s), and a short statement on their motivation for this research to the project supervisors:


More information

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