Project summary
- Program
- PhD
- Location
- St Lucia
- Research area
- Chemical sciences, Mathematical sciences, Physical sciences
Project description
Chemical reactions, biological processes, weather cycles, and quantum dynamics, are just a few examples of nonequilibrium processes.
Although nonequilibrium systems are all around us, they remain difficult to treat with existing theory, even when they reach a steady state (e.g. a fluid under steady flow or a battery under a steady rate of charge/discharge).
In this project, you will use computational tools such as molecular dynamics simulations and machine learning to better understand nonequilibrium steady states and improve the calculation of system properties, which may differ greatly from equilibrium.
You will apply new theory and methods to study interesting systems important to solving real-world challenges, such as lubricants, electrolytes, and thermal insulators and conductors.
Research environment
This project will be conducted within the AIBN at UQ, which excels in combining fundamental and applied research to enable outcomes in areas such as clean energy technologies, biomanufacturing, and precision nanomedicine.
You will work with leading experts in nonequilibrium statistical mechanics and molecular dynamics simulation, who have experience studying systems such as batteries, supercapacitors, electrolysers, fluids, and organic semiconductors.
The UQ Research Computing Centre provides access to a large-scale high performance computing facility, and further access to national computing facilities will also be available.
The project strongly aligns with research strengths at UQ in Mathematical Physics (0105), Condensed Matter Physics (0204), and Theoretical and Computational Chemistry (0307); UQ has a 2018 ERA ranking above or well above world average (rating 4 or 5 out of 5) in all of these disciplines.
Scholarship
This project is supported by the Research project scholarship.
Learn more about the Research project scholarship.
Supervisor
Principal supervisor
Associate supervisor
Preferred educational background
Your application will be assessed on a competitive basis.
We take into account your:
- previous academic record
- publication record
- honours and awards
- employment history.
A working knowledge of systems that are commonly driven out of equilibrium, such as electrolytes, ionic liquids, lubricants, or others would be of benefit to someone working on this project.
You will demonstrate academic achievement in the field(s) of chemistry, physics, mathematics, or computer science and the potential for scholastic success.
A background or knowledge of molecular dynamics simulation, statistical mechanics/thermodynamics, machine learning, and/or dynamical systems is highly desirable.
How to apply
You must submit an expression of interest (EOI) by 31 January, 2027 31 January, 2027.
Before you apply
- Check your eligibility for the Doctor of Philosophy (PhD).
- Prepare your documentation.
- If you have any questions about whether the project is suitable for your research interests, contact Dr Stephen Sanderson (stephen.sanderson@uq.edu.au).
When you apply
To apply, submit an expression of interest (EOI) for the program. You don't need to apply separately for the project or scholarship. How to submit an EOI
In your EOI, complete the ‘Scholarship/Sponsorship’ section with the following details:
- Are you applying for an advertised project: 'Yes'
- Project: 'Research project scholarship'
- Scholarship Code Listed in the Advertisement: NONEQUILIBRIUM-SANDERSON
- Link to Scholarship Advertisement: https://study.uq.edu.au/study-options/phd-mphil-professional-doctorate/projects/understanding-nonequilibrium-steady-states