Theoretical Physics jobs
- MathHire.orgClayton VIC
- Join an ARC-funded research project developing numerical methods to simulate the flow of dense viscous liquids through a deformable granular mush.
- Q-CTRLSydney NSW
- Q-CTRL’s Quantum Sensing Research team performs basic and applied research in quantum sensing and quantum-enabled navigation.
- Q-CTRLSydney NSW
- Familiarity with quantum and/or atomic physics at an undergraduate level.
- A PhD (or equivalent industry experience) in physics, engineering, or a closely…
- Q-CTRLSydney NSW
- Familiarity with quantum and/or atomic physics at an undergraduate level.
- A PhD (or equivalent industry experience) in physics, engineering, or a closely…
- Q-CTRLSydney NSW
- Experience modelling real quantum experiments/hardware and working closely with both theoretical and experimental teams.
- Q-CTRLSydney NSW
- A PhD, or equivalent industry experience, in atomic, molecular, and optical physics or a closely related discipline.
- University of MelbourneParkville VIC 3010
- Hold a completed or near-completed PhD in physics, astrophysics or a closely related discipline.
- You will work with advanced general relativistic simulations,…
- DiraqSydney NSW 2000
- Own the theoretical physics research plan and delivery roadmap for the theory team, aligned to relevant company milestones.
- Job Types: Full-time, Permanent.
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- Q-CTRLSydney NSW
- Q-CTRL’s Quantum Sensing Research team performs basic and applied research in quantum sensing and quantum-enabled navigation.
- Advanced NavigationSydney NSW
- Strong theoretical and practical understanding of FOG physics, including the Sagnac effect and associated phenomena.
- Advanced NavigationSydney NSW
- Strong theoretical and practical understanding of FOG physics, including the Sagnac effect and associated phenomena.
- PhD in a relevant field.
- Rockstar GamesSydney NSW
- Strong theoretical knowledge of 3D rendering techniques.
- Candidates must have a strong passion for video games and interactive graphics, ideally having…
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- Rockstar GamesSydney NSW
- Strong theoretical knowledge of 3D rendering techniques.
- Candidates must have a strong passion for video games and interactive graphics, ideally having…
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Job Post Details
Postdoctoral Research Fellow: Computational Methods for Fluid-Granular Flows
Postdoctoral Research Fellow: Computational Methods for Fluid-Granular Flows
Job details
Full job description
Join an ARC-funded research project developing numerical methods to simulate the flow of dense viscous liquids through a deformable granular mush. The project aims to improve fluid-dynamical understanding of how magmatic ore deposits form. Such deposits contain critical minerals including nickel, copper, cobalt and platinum-group elements that underpin the global transition to Net Zero.
You will be responsible for developing novel numerical methods to model continuum problems in a two-liquid/granular medium and for interpreting the results physically. These models will capture how a dense fluid migrates, spreads and becomes trapped within a deformable, yield-stress material. Working alongside a co-supervised PhD student and the wider investigator team, you will build and extend simulation tools to explore droplet migration, instability and gravity-driven flows within this setting. There is scope to bring your own perspective to the numerical approach, and your work will feed directly into peer-reviewed publications in leading fluid mechanics journals and presentations at both specialist and general conferences.
The position is part of an interdisciplinary team spanning applied mathematics and economic geology and is based in the School of Mathematics at Monash University. You will work closely with A/Prof Anja Slim at Monash, Dr Edward Hinton at the University of Melbourne and A/Prof Duncan Hewitt at the University of Cambridge. The position includes extended visits to Cambridge's Department of Applied Mathematics and Theoretical Physics. You will also have regular opportunities to work with the project's economic geology team, testing your models against real field and experimental data and seeing your results feed directly into questions about how magmatic ore deposits form and where they might be found.
This is a chance to help develop some of the first physical models of how magmatic ore deposits form. Despite their economic importance, these systems remain largely unexplored from a fluid-dynamical perspective, offering substantial scope for fundamental new insights.