Research Associate - Urban AI, Data and Climate Model Development
Core
Develop machine learning, hybrid physics-ML techniques, and numerical models to improve urban climate parameterization and representation within the Australian Community Climate and Earth-System Simulator (ACCESS).
Role type
Research Associate (AI/ML and Urban Climate Modelling)
Builds
Urban climate models, data pipelines, and research outputs for national climate prediction and projection.
Domain
Climate science, urban planning, machine learning, and environmental data
Deliverable
production ML models
Required skills
Machine learning, hybrid physics-ML, numerical modeling, Python, scientific computing, data pipeline design, model benchmarking, urban canopy schemes
Preferred skills
Geospatial data, HPC, FAIR data practices, urban morphology datasets
Technologies
ACCESS, CABLE, Python, HPC
Responsibilities
Develop and evaluate AI/ML tools for urban climate modeling; design reproducible data pipelines for city-descriptive datasets; improve urban process representation in climate models; run simulations and document workflows; publish research findings.
Seniority
Senior, independent researcher
