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PhD Scholarship This PhD project will develop an Australian-focused modelling framework to assess carbon and biodiversity market designs, comparing environmental and economic outcomes to inform
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applied mathematical modelling machine learning multi-fidelity modelling numerical methods. Demonstrated programming ability (MATLAB/Python/C++) and enthusiasm to learn PyTorch. Previous experience in one
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-time, internal student (unless approval for part-time and/or external study is obtained) have a background in: control engineering computer science municipal and environmental engineering a related field
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in finite element modelling and machine learning (desirable). How to apply Apply for this scholarship at the same time you apply for admission to QUT's Doctor of Philosophy . *The first step is to
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the Collaborative Research Centre for Low Carbon Living. The project uses agent based modelling (ABM) to represent consumer behaviour, social networks and their responses to non-financial incentives and barriers in
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across engineering, architecture, urban design, IT, public health and social science, to shape transformative and innovative solutions for cities that are vulnerable to environmental and climate risks in
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modelling, and resilience science. You will work within an interdisciplinary team, engage directly with communities, policymakers, and practitioners, and contribute to co-designed toolkits and guidelines
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Resources Engineering, Hydrology/Hydraulics, Environmental Science, Remote Sensing or a related field. Someone with previous training in computer modelling and coding, or with demonstrated experience in field
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methods, including causal econometric analysis and predictive economic modelling, to assess the economic and distributional impacts of policy interventions across healthcare and disability service systems
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health ; global and environmental health economics ; economic behaviour, incentives and preferences in health ; and, economic modelling of health policies and technologies . Employment Prospects PhD