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Potential PhD Topics

PhD Supervisors

Below are listed those CAS staff who may be currently looking for PhD students.

PhD Projects

Prof. Matthew Bailes

Prof. Chris Blake

Dr. Michelle Cluver

A.Prof. Jeff Cooke

  • No projects offered at this time

Prof. Darren Croton

Dr. Adam Deller

A.Prof. Alan Duffy

Dr. Deanne Fisher

  • No projects offered at this time

A.Prof. Chris Fluke

Prof. Duncan Forbes

  • No projects offered at this time

Prof. Karl Glazebrook

Prof. Alister Graham

Prof. Jarrod Hurley

  • No projects offered at this time

Dr. Glenn Kacprzak

Prof. Virginia Kilborn

  • No projects offered at this time

Dr. Glen Mackie

  • No projects offered at this time

Prof. Sarah Maddison

Prof. Jeremy Mould

  • No projects offered at this time

Prof. Michael Murphy

A.Prof. Emma Ryan-Weber

  • No projects offered at this time

Dr. Edward N. Taylor

  • No projects offered at this time

Project Descriptions

The following set of projects have guaranteed external funding:

Mapping the Universe with Fast Radio Bursts

Supervisors: Prof. Matthew Bailes and Dr. Adam Deller

Fast Radio Bursts (FRBs) are intense, millisecond-long bursts of radio energy that originate from outside our own Galaxy. To date, just a single FRB has been localised to a host galaxy, meaning we have little idea about the nature of FRB progenitors. The upgrade of the Molonglo radio telescope to "UTMOST-2D" will provide the first dedicated FRB search capable of pinpointing bursts to arcsecond precision and identifying their host galaxies. By comparing the FRB "dispersion" (which measures of the number of electrons between the source and the Earth) to the host galaxy redshift, the FRBs detected by Molonglo can directly measure the density of the intergalactic medium and be used as a cosmic ruler to map the Universe.

This PhD project will involve analysing the population of FRBs detected by UTMOST and making and analysing multiwavelength follow-up observations those pinpointed by UTMOST-2D. Optical identification and spectroscopic characterisation of the host galaxies will be supported by radio continuum, optical, and X-ray searches for afterglow signals, as well as population analyses. The student will join the UTMOST collaboration under the joint supervision of Prof. Matthew Bailes and Dr. Adam Deller.



Time and Tide: Galaxies on the Move

Supervisors: Dr. Michelle Cluver

Galaxies in the local universe are rarely isolated, preferring to live in groups of varying sizes and densities. These associations experience a range of dynamical processes and interactions. But how does being in a group impact the star formation evolution of the member galaxies, if at all? Previous studies come to conflicting conclusions (e.g. Rasmussen et al. 2012, Ziparo et al. 2013, Wijesinghe et al. 2012, Schaefer et al. 2017), motivating the need for larger studies at low redshift combined with multiwavelength measures and accurate environmental measures.

This project will combine spectroscopic information from the Taipan galaxy survey and imaging from the KiDS (optical), VIKING (near-infrared), WISE (mid-infrared) and H-ATLAS (far-infrared) surveys towards investigating the significance of environment on the evolution of grouped galaxies. Missing from previous studies, we aim to include neutral gas (HI) observations from the SKA Pathfinders, MeerKAT and ASKAP, a key ingredient to star formation and a unique tracer of galaxy interactions. This will allow us to study the physical processes transforming galaxies from star-forming to quenched, as well as the short and long term effects of environment on star formation.

Mapping electromagnetism's strength throughout the Milky Way with solar twin stars

Supervisor: Prof. Michael Murphy

The constancy of nature's laws, characterised by the fundamental constants, has been mapped out on all size-scales, from the laboratory through to the cosmic microwave background at redshift z=1100, except for one important size-scale: our own Milky Way galaxy. This project aims to make the first check on electromagnetism's strength in our Galaxy with high enough precision that a discovery of variation is possible (i.e. not already ruled out by previous, much less precise measurements). The idea is to use the spectra of solar twins – stars with spectra indistinguishable from our Sun's, and each other – as the probe because this allows for a highly differential measurement that will be immune to all manner of systematic effects that have precluded such a measurement in the past.

Depending on the status of this field at the time, there are both observational and theoretical avenues open for this position. For example, the student may either be making the first measurements on existing solar twin spectra, contributing to an effort to identify very distant solar twins, analysing new spectra of these distant solar twins, or making measurements with them. The new spectra would be taken with a new instrument on the 8-metre Very Large Telescope in Chile. Or they may be using advanced quantum mechanical calculations to determine how solar twin spectra depend on fundamental constants. These and other options will be discussed with the candidate.


Machine Learning for discovering High-Redshift and Exotic Objects

Supervisor: Prof. Karl Glazebrook

The forthcoming launch of the James Webb Space Telescope (JWST) will dramatically open up the possibilities for object discovery in the z>4 Universe. Dozens of imaging bands from 2-28 microns will suddenly become available, and sensitive enough, to find diverse types of early galaxies, and potentially new populations of exotic objects that may appear in the early Universe. Traditional colour selection (2-3 bands) is not optimal for this new data, and traditional photo-z selections requires highly specific models of what to look for. This PhD will develop machine learning techniques (e.g. convolutional and adversarial neural networks), optimised for datasets of 30-40 bands, for quickly identifying high-redshift galaxies and/or exotic objects (‘unknown unknowns’) using a mixture of empirical and simulated training data. This methodology will be developed using existing surveys such as ZFOURGE, 3DHST and ULTRAVISTA with the ultimate goal of building a software system optimised for JWST.


The nature of the first stellar populations in the Universe

Supervisor: Prof. Karl Glazebrook

The James Webb Space Telescope (JWST) is a 6.5m space telescope, significantly larger than the 27 year old 2.5m Hubble Space Telescope and will extend much further in to the infrared due to its cold location, one million km from the Earth. This will lead to new discoveries on topics such as the Initial Mass Function (IMF), rate of formation, elemental abundances and the presence of exotic populations. These studies will probe the fundamental physics of galaxy formation at z>4 in detail previously not possible. Recent discoveries of massive evolved galaxies (stellar masses >10^11 Msun) in such an early Universe point to an epoch of extremely fast star-formation followed by just as rapid quenching. A variety of next generation spectral synthesis codes have been developed in the past few years which allow more sophisticated treatment of emission lines, binary populations, abundances, complex star-formation histories and the IMF. In this PhD we will integrate these codes to study the stellar populations of the most massive galaxies and develop new algorithms to accelerate the modelling process. We will apply this to variety of ground-based surveys, and put in place a framework which we will use to study the millions of high-quality spectra expected from JWST.


The following set of projects are subject to a competitive allocation process where only a limited number of scholarships are available:

Understanding How Circumgalactic Gas Drives Galaxy Evolution

Supervisors: Dr. Glenn Kacprzak, Dr. Nikole Nielsen and Prof. Michael Murphy

Cool gas (green) from cosmic filaments accretes onto
the galaxy, which drives its rotation and controls the rate at
which it forms stars. Star formation and supernovae expel
gas back into the circumgalatic medium (purple). Background
quasars are used to study these gas flows around galaxies.

Ever wonder why some galaxies form stars while others do not? Or where does all the fuel for star-formation come from and what regulates it? The evolution of galaxies is intimately tied to their gas cycles - the gas accretion, star formation, stellar death and gas expulsion. As galaxies evolve, their gas cycles (known as feedback), give rise to an extended gaseous halo surrounding galaxies. Understanding how feedback works has become recognised as THE critical unknown process missing to fully understand galaxy evolution. Therefore, gaseous galaxy halos are the key astrophysical laboratories harbouring the detailed physics of how galactic feedback governs galaxy evolution.

Observationally, galaxy halos are studied with great sensitivity using quasar absorption lines. Imprinted on the quasar spectrum are the motions, chemical content, density, and temperature of the gas. These absorption signatures provide details that are unobtainable using any other method of observation. Here, the student will join an international collaboration and will examine how the host galaxy properties are linked to their circumgalactic gas properties using Hubble Space Telescope and Keck Telescope data.


Testing the cosmological model with the Taipan Galaxy Survey

Supervisors: Prof. Chris Blake

One of the most fundamental tasks facing astronomers is to determine the cosmological model describing the physics of the expanding universe, in terms of its matter-energy content and the laws of gravity. Recent observations of the universe show that our current understanding of the relevant physics is profoundly incomplete, forcing cosmologists to invoke a mysterious dark energy, that propels an apparent acceleration in the present-day cosmic expansion rate.

The Taipan Galaxy Survey is a new Australian-based project that will measure redshifts for 1,000,000 galaxies and peculiar velocities for 100,000 galaxies, mapping out the large-scale structure of the local Universe. The resulting dataset will yield the most precise direct measurement of the present-day expansion rate of the universe, the largest maps of the density and velocity fields of local structures, and new and stringent tests of large-scale gravitational physics using galaxy motions, probing Einstein’s theory of gravity and alternatives. The full set of scientific goals for the survey is described in this paper.

Depending on the skills and interests of the student, this project could involve a focus on observations, data analysis or theory within a key science investigation in the project.

Picture caption: The UK Schmidt Telescope at Siding Spring Observatory, where the Taipan Galaxy Survey will take place


Galaxy Structure and massive black holes

Supervisors: Prof. Alister Graham

Artist's impression of a black hole. Credit: James Josephides.

This project will explore how stars are distributed in galaxy images obtained from both ground-based telescopes and satellites such as Hubble and Spitzer. The structure of galaxies reveals much about how they formed, how they are connected with one another and also with the massive black holes that reside in their cores. A feeling for the type of research done with Prof. Graham can be seen in his Press Releases.


Testing planetesimal collision models with debris disk observations

Supervisors: Prof. Sarah Maddison

Testing planetesimal collision models with debris disk observations: Planets form through the collisions of asteroid-like bodies. The only way to see these large bodies is via the dust grains they produce via collisions. The student will join an international team conducting the PLATYPUS survey with the Australia Telescope Compact Array to study intrinsic properties of debris disks and test predictions of collisional models of planetesimals.


Weighing the Universe with Deuterium

Supervisors: Prof. Michael Murphy and Dr. Glenn Kacprzak

This project aims to weigh the universe (i.e. measure the number of baryons it contains) by comparing the amount of hydrogen and its main isotope, deuterium, in distant, almost pristine clouds of gas. The baryon fraction is a fundamental quantity in cosmology, so obtaining new measurements using deuterium is essential for detecting any departures from our standard cosmological model. We observe these gas clouds in the spectra of background quasars – the super-bright accretion discs around supermassive black holes – taken with the largest optical telescopes, such as the Keck 10-metre in Hawaii and VLT 8-metre in Chile. Cases where an accurate (and precise) measurement can be made are incredibly rare, but we have identified several new examples that will provide competitive baryon fraction measurements. The aim is to analyse these existing spectra, and obtain new spectra if required, and test the standard cosmological model.

This is a collaboration with astronomers in the US (Vermont & California) and travel to work with these collaborators is foreseen. Observations using either the Keck and/or VLT are also likely during the course of the PhD project.


The distribution of gas and metals around galaxies, from low to high redshift

Supervisors: Prof. Darren Croton

The hydrogen gas content of a galaxy, from which new stars form, is an excellent probe of its future, while the metal content within that gas, produced in supernova during the death of old stars, is a similarly valuable probe of its past. The goal of this project is to make predictions for the distribution of gas and metals around galaxies from low to high redshift, for different galaxy types and in different environments, and compare these against observations. The project has 5 parts: (1) undertake a literature review of our current understanding of gas and metals in galaxies; (2) to review the theory of how galaxies form and evolve across cosmic time, with a focus on the relevant physical processes; (3) to construct a new model universe with the existing SAGE galaxy formation model on the OzStar supercomputer at Swinburne; (4) using this model, to reproduce the current observations of gas and metals in and outside of galaxies out to the redshifts for which it’s been measured; and (5) explore the model beyond this baseline to make predictions for future observational surveys. Additional goals will be to develop a solid understanding of galaxy evolution and cosmology, become familiar with supercomputer simulations and models, and the technical skills required to create and use them for science. This project will involve collaboration with international partners in the US, Europe and Japan.


Dark Matter Visible

Supervisors: Assoc. Prof. Alan Duffy

There exists an unknown invisible mass in the Universe, outweighing everything we can see five times over. This mysterious substance is called Dark Matter, non-interaction with electromagnetism makes it both challenging to directly observe or detection as it is therefore nearly collisionless. Astronomical observations have confirmed the large-scale distribution of dark matter but to determine the particle nature will require measurements on light year scales or event direct detection of the particle itself. Confirming the nature of this new particle is one of the greatest scientific endeavours of our century. Swinburne is part of SABRE, a new experiment one-kilometre underground at a gold mine in Stawell, which will attempt to detect this dark matter.

This project will use high-resolution simulations of Milky Way-like galaxies to explore the potential properties of the dark matter near the Sun's orbit and which SABRE may detect. It will also generate distributions that can inform indirect detection efforts such microlensing, self-annihilation signals and perturbations to the visible sector. A series of zoom-in hydrodynamical simulations of Milky Way type galaxies have been created on the largest supercomputers in the world. Along with these simulations is a new technique to be developed in collaboration with Caltech’s Prof Phil F Hopkins on a more robust numerical estimate for small scale dark matter structures. This research efforts will be used to generate an expectation for the range of dark matter distributions that can inform direct detection experiments. A background/masters in numerical simulations (esp. Gadget/GIZMO) is an advantage as is experience in Python or C.


Astronomical knowledge discovery beyond the petascale

Supervisors: A.Prof. Chris Fluke

As astronomy moves ever closer to the Square Kilometre Array's exascale data era, an increasing number of existing desktop-based workflows will fail. Instead, astronomers will turn to automated processing using dedicated high-performance computing resources coupled with advanced data archives. Yet the ability to look at the most important data is crucial. In this project, you will research, design, implement and evaluate new visualisation-based knowledge discovery approaches. The goal is to support interactive, multi-dimensional analysis of data from observations, simulations, model fits and empirical relationships. The research will require an investigation into methods for combining visualisation-directed model-fitting with emerging machine learning techniques - such as Deep Learning - to enhance and accelerate the path to discovery. A key focus will the WALLABY survey of extragalactic neutral hydrogen with the Australian Square Kilometre Array Pathfinder (ASKAP), however, the techniques developed will be suitable for a range of current and future data intensive programs - within and beyond astronomy. All stages of the project will utilise Graphics Processing Units (GPUs) as computational accelerators. The student will also have access to Swinburne University’s Advanced Visualisation facilities: the Enhanced Virtual Reality Theatre and the Swinburne Discovery Wall. This project will suit a student with existing strong programming skills, and interests in GPU-computing and/or data-intensive discovery