Postdoctoral Research Associate in Mechanics of Granular Materials
Full time 20 month fixed opportunity. Located in the Civil Engineering Building on the Camperdown Campus
Advance sustainable mining through granular material mechanics
Base Salary Level A Step 6 - 8 $113,400 - $121,054 + 17% superannuation
The School of Civil Engineering at the University of Sydney is seeking a Postdoctoral Research Associate to join Associate Professor Pierre Rognon's research team, focusing on the mechanics of granular materials.
Excavating granular materials-such as sand, gravel, and fragmented rock-consumes significant amounts of energy and contributes substantially to global CO emissions. These energy losses occur as ground-engaging tools move through granular packings, yet the mechanisms and scale of this dissipation remain poorly understood.
In this role, you will investigate excavation methods that minimise energy losses. Your work will involve laboratory experiments using a programmable robotic arm to drive 3D-printed buckets into granular packings.
Research Environment
You will be part of the Sydney Centre in Geomechanics and Mining Materials (SciGEM), a world-leading research group in applied granular physics. SciGEM offers a vibrant, collaborative environment with a team of a dozen academics, several postdoctoral researchers, and around 20 PhD students. You will benefit from their collective expertise in physics, geomechanics, geotechnical engineering, experimental methods, and simulation techniques, as well as access to state-of-the-art experimental facilities.
Supervisors: A/Prof Pierre Rognon, Prof David Airey, Dr Benjy Marks
Institution: SciGEM, School of Civil Engineering, The University of Sydney
Your key responsibilities will be to:
- design and conduct experiments
- experimentally identify how control parameters (e.g. bucket speed, size, depth, and packing density) influence energy dissipation
- develop mathematical models to predict and explain these effects
- collect and analyse data, including with the use of machine learning
- use this knowledge to design excavation trajectories that reduce energy consumption
- develop mathematical models of excavation energy losses
- communicate your findings in domestic and international conferences, and via publication in scientific, peer-reviewed journals.
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 Mechanics of Granular Materials who has:
- a PhD in a related or relevant field to this project
- design and conduct experiments
- collect and analyse data, including with the use of machine learning
- develop mathematical models of excavation energy losses
- communicate your findings in domestic and international conferences, and via publication in scientific, peer-reviewed journals.
The project will involve the following skills. Your experience in any of them is desirable,
- applied physics and mechanics
- laboratory experiments
- motion control and data acquisition
- machine Learning
- coding using Python
- writing using Latex.
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