Digital Twins for Dynamic Decision-Making in Coastal Infrastructure

Summary

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This research investigates advances in Digital Twins for dynamic decision-making in coastal city infrastructure systems, enabling adaptation in human-infrastructure interactions.

Research Area:

Digital Twins, Dynamic Decision-Making, Coastal Infrastructure

Supervisor

Dr Neda Mohammadi.

Research location

Project Management

Synopsis

The research contributes to the advancements of theories and methodological innovation in Digital Twins for dynamic decision-making and stakeholder engagement, with a focus on coastal city infrastructure. It addresses complex human-infrastructure interactions, investigating interdependencies, uncertainties, and evolving interoperability within coastal systems. Leveraging Generative AI for contextual data synthesis and scenario modelling, this integrative approach aims to advance our understanding of how humans and coastal infrastructure systems co-evolve, ultimately informing more robust strategies and methodologies for planning, management, control, and policy.

Offering:

The successful candidate will be awarded a scholarship for 3.5 years at the RTP stipend rate (currently $41,753 in 2025) subject to satisfactory academic performance. International applicants will have their tuition fees covered.

Successful candidates:

• Must have a Master's degree, with a substantial research component, in engineering, computer science, information systems, or a related field; A minor in AI, analytics, or computational science is a strong plus.
• Will be given preference if they have expertise in mathematical or computational modelling, data analytics, and advanced AI techniques (DL, RL, NLP). Expertise in extended reality (VR/AR/MR) is highly desirable. 

How to apply:

Submit your application through this form.

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Opportunity ID

The opportunity ID for this research opportunity is 3620

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