Working under the supervision of Professor David Levinson, the successful candidate will contribute to the development of hybrid quantum-classical modelling approaches that support improved analysis, simulation, optimisation, and decision making under uncertainty. The role will suit a researcher with strong technical capability in quantum computing, data-driven modelling, infrastructure systems, computational optimisation, simulation, probabilistic methods, or related areas.
This project is part of an ambitious research program across the Schools of Civil Engineering and Project Management. The appointee will conduct original research, contribute to prototype development, prepare high-quality publications, work collaboratively across engineering and related disciplines, and support engagement with academic, government, industry, and community stakeholders.
Your key responsibilities will be to:
- conduct high-quality research in quantum-enabled computational approaches for digital twins and complex system simulations
- develop, implement, test, and benchmark computational models, algorithms, data pipelines, and research software prototypes
- contribute to optimisation, simulation, sampling, or uncertainty-modelling approaches for complex systems
- analyse infrastructure, spatial, temporal, networked, or urban systems data
- contribute to the preparation and submission of journal articles, conference papers, technical reports, and research outputs
- collaborate with interdisciplinary scholars across engineering, design, planning, computing, and related research domains
- contribute to stakeholder engagement activities, including workshops, research presentations, and partner-facing materials
- assist with the development of competitive grant applications and future external funding opportunities
About you
The University values courage and creativity; openness and engagement; inclusion and diversity; and respect and integrity. As such, we see the importance of recruiting talent aligned to these values and are looking for a Postdoctoral Research Associate in Applied Quantum Computing Research who has:
- a PhD or near-completed PhD in quantum mechanics, quantum computing, computer science, data science, operations research, applied mathematics, or a closely related field.
- demonstrated ability to conduct independent, high-quality research appropriate to career stage
- evidence of a developing research profile, including publications record in a relevant field
- strong programming and computational research skills, such as Python, R, Julia, MATLAB, R, C/C++, or equivalent
- research expertise in one or more of the following: quantum computing, quantum optimisation, digital twins, infrastructure modelling, mathematical optimisation, hybrid quantum-classical modelling, simulation, probabilistic modelling, infrastructure systems modelling, or research software development
- ability to develop, implement, test, and benchmark computational methods
- ability and interest in conducting interdisciplinary research and working effectively across disciplinary and stakeholder boundaries
- demonstrated ability to work independently and as part of a team
- excellent communication skills
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