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Field
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, and stakeholders designing interventions to encourage positive behaviour change. Recently, agent-based-modelling (ABM), a computational approach to simulate actions and interactions of individual
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Job related to staff position within a Research Infrastructure? No Offer Description The PhD will develop models (using AI and agent-based modeling) that identify policies for positive interactions
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@rmit.edu.au Please send your CV to akram.hourani@rmit.edu.au Required Skills: Programming and simulation: strong experience in Python or MATLAB. Mathematical modelling: probability, optimization, or multi-agent
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analysis of mobility behavior, the application of agent-based models and road space analysis, particularly for road safety. Research on walking and cycling as a cross-cutting issue has a high priority in all
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stakeholders in real-time. Such a system would provide information based on the state of the system as well as the needs and competences of the user. PhDs will join in the MADE REACT project, working with
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that would give you an advantage) Experience in computational modelling (e.g., agent-based Bayesian models, cognitive learning models, machine learning, robotics). Experience in annotation software such as
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and camera observations from the Newcastle Urban Observatory, public transport ridership data, questionnaires and travel surveys, and the DARe MATSim agent-based modelling suite, this PhD will seek
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models and mechanisms that enable AI agents in Hybrid Human-AI teams to learn, adapt, and utilise shared team norms through interactions to ensure their actions are aligned and justifiable. This includes
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integrating behaviour change interventions into our daily lives. For example, by targeting habits, which have been shown to be greater predictors of change compared to knowledge-based interventions. This PhD
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outcomes. Our research seeks to bridge this knowledge gap by using Agent-Based Modelling (ABM) to simulate and evaluate the impact of various green infrastructure design scenarios in peri-urban areas