Computational astrophysics to study turbulence, magnetic fields, and star formation *

We study the formation and evolution of stars, galaxies, the interstellar medium and planets. We use a mix of theory, analytics, supercomputer simulations and observations. We also develop new numerical algorithms and observational techniques for star and galaxy formation, turbulence, magneto-hydrodynamic dynamos, and fluid dynamics in general.

Up to 4 projects available.

Assoc. Prof. Christoph Federrath
Dr Amit Seta
 

Interstellar positron annihilation and decaying dark matter *

A wide range of candidate dark matter particles that undergo decay should produce high-energy positrons. Once produced, these positrons would propagate through interstellar space, losing energy through their interactions with the Galactic magnetic and radiation fields, and eventually annihilating with electrons in the interstellar medium. These processes would in turn produce characteristic gamma-ray and X-ray emission that we can observe. The goal of this project is to simulate the propagation and annihilation of such positrons in interstellar space, and compare the predicted radiative signatures to observations. This in turn will help set limits on dark matter candidates that produce high-energy positrons.

Programming experience required; C++ and Python would be most helpful, but other languages acceptable as well.

Prof. Mark Krumholz
Assoc. Prof. Roland Crocker

Linking spin-filament alignment flips to mergers in observations of galaxies and the cosmic web *

Mergers are found to be responsible for the flipping the alignment between galaxy spins and their nearest cosmic web filaments from parallel to perpendicular. In this project, we will exploit the SAMI galaxy survey and the underlying GAMA redshift survey to look for signs of mergers in galaxies that show a more perpendicular alignment with respect to their closest cosmic filament. We will implement an indirect approach searching for correlations between potential mergers and the probability of the galaxy spin having flipped.

Dr Stefania Barsanti
Prof. Matthew Colless

Design and simulation of an ultraviolet spatial heterodyne spectrometer *

Spatial heterodyne spectrographs (SHS) combine large etendue and high spectral resolution in a compact volume and provide significant gains in sensitivity over a slit-spectrograph. The combination of high spectral resolution, sensitivity, and small size makes them useful for studying diffuse extended sources ranging from ground-based observatories to satellites. Recent advancements in ultraviolet (UV) optical and detector technologies expanded prospects for a compact, light-weight, and high-resolution near-UV and far-UV SHS instrument to study UV emission line properties of faint and diffuse astrophysical environments. The advantages of the SHS, including the lack of moving parts, high throughput, and ultra-compact and cost-effective design, make it an excellent candidate for future space-based spectroscopic instruments for astronomical and remote sensing observations from small-satellite platforms such as CubeSats. This project involves the instrument modeling, electro-optical, and system design of a compact all-reflective UV SHS.

Dr Joice Mathew
Dr Brad Tucker
Eduardo Trifoni

Measuring blackhole masses with reverberation mapping

Reverberation mapping is an established technique that uses a time sequence of observations of an active galactic nucleolus (AGN) to measure the mass of the black hole at its core. By measuring the differences between features in the UV/blue emission from the compact black

hole accretion disk and from the emission lines in spectra from the orbiting gas on large scales we can probe regions at the centre of these luminous sources that are far smaller than we can currently directly observe, even with JWST. Unfortunately, the observations are time consuming, but are well suited to automated observation with robotic telescopes such as the ANU 2.3m and the WiFeS instrument. With this program we will put together a new sample of carefully selected sources, that fill gaps in our current knowledge of the black hole mass distribution, and commence an automated observation campaign.

This is an extension project, coming out of results from our OzDES Reverberation Mapping program, looking to fill a gap in the H-beta source catalogue using the automated ANU 2.3m telescope.
Malik et al. 2022
https://ui.adsabs.harvard.edu/abs/2022arXiv220304518M/abstract
https://arxiv.org/pdf/2203.04518.pdf

Prof Robert Sharp

Quasars and Seyfert galaxies — physical nature and variability *

Our group studies quasars, Seyfert galaxies and changing-look AGN, mostly from optical spectra, optical light curves with several years of duration and nightly cadence, and SED properties from the X-rays (eROSITA) over MIR (WISE) to the radio. The questions we are interested in include:
(1) Can we tell the orientation of the accretion disk and dust torus plane of an AGN from spectra and multi-wavelength SEDs?
(2) What can we learn from detailed light curves about the sizes and properties of accretion disks?
(3) How do the two items above help with measuring black hole masses more precisely?
(4) What are the radiative efficiencies of quasar accretion disks and can we explain the growth of the supermassive black-hole population overall?
(5) How are the accretion disks of low-luminosity AGN (Seyfert galaxies) different from those of high-luminosity AGN (quasars)?
(6) What causes extreme variability of AGN as is manifest in Changing-Look AGN, which appear to flip between AGN type-1 and type-2? And related, is every AGN a potential Changing-Look AGN, or is this a physically different sub-type?
(7) How do temporal changes in accretion rate and dust obscuration produce the sequence of AGN subtypes? What is the nature of Seyfert 1.2, 1.5, 1.8, 1.9 AGN in relation to Seyfert 1 and Seyfert 2?

Assoc. Prof. Christian Wolf,

Dr Christopher Onken

Decrypting chloroplast signalling networks in C4 photosynthesis at cell type-resolution *

How do chloroplasts function as environmental sensors and regulate stress resilience in specialised cells with distinct, critical metabolic functions such as C4 photosynthesis? This project aims to elucidate for the first time the chloroplast-to-nucleus signalling pathways functioning in heat acclimation of C4 photosynthesis.

Scholars can also consider other projects listed on the webpage.

Dr Kai Chan

Macro-evolution and macro-ecology of Australian reptiles and frogs

We have robust phylogenies and trait databases for Australian reptiles and frogs. The projects will test hypotheses concerning diversification of these groups.

Prof Scott Keogh, Dr Mitzy Pepper, Dr Damien Esquerre

Adapting to rapid environmental change

We are interested in how animals respond and adapt to new and changing environments. We conduct experiments in the lab with fish and invertebrate model systems to improve understanding how different aspects of the environment (e.g., food, temperature, drought, disease) affect important fitness related traits (e.g. life-history traits, performance traits and reproductive behaviour).

Dr Megan Head

Thermal tolerance of plants from extreme environments *

This project will explore the microenvironmental conditions that alpine species are exposed to and how these species cope with extreme conditions in the Snowy Mountains. Students will be involved in the field and glasshouse/lab experiments and they will learn different methods to measure thermal tolerance in plants and other soil, air and plant parameters.

Prof Adrienne Nicotra

Simulation studies of membrane transporters, ion channels and receptors *

Our research involves applying molecular dynamics simulations to understand how membrane proteins function and how they can be targeted for drug development. Topics of interest include understanding the basis of mechanosensation, exploring the membrane transporters of the malaria parasite, immuno-active toll-like receptors as well as bio-inspired water filtration and the applications of the thermally driven diffusion.

Prof Ben Corry

Fast-tracking next generation gene-editing/transgenesis technologies for future crop development

We have series of projects aims to develop and innovate in the next-generation of plant transformation and gene-editing technologies enabling their utilization in breeding programs for the generation of future crops. We have projects where students will work with the ARC Training Centre’s Innovation Fellows to gain expertise in the latest plant molecular biology and gene-technology approaches.

Prof Tony Millar [also Dr Caitlin Byrt, Prof Spencer Whitney, Prof Bob Furbank, Prof Barry Pogson]

Evolution and conservation of Australian vertebrates *

We combine field sampling with evolutionary genomics to investigate speciation processes, spatial patterns of diversity, responses to past climate change, and strategies for conservation across Australian mammals and reptiles.

Prof Craig Moritz, Dr Emily Roycroft, Dr Stephen Zozaya

Evolution of honeybee parasites and diseases *

We aim to understand how parasites and diseases co-evolve with their hosts. How do diseases originate? How do they spread? We do this in a field-based insect system, the honeybee, which is host to many viral diseases and arthropod parasites. Our work combines laboratory, bioinformatic and field components.

Prof Alexander Mikheyev

Venom origins *

Venoms have evolved multiple times in a wide range of organisms. In the case of oral venoms in vertebrates (snakes, reptiles, and mammals), they evolved from salivary proteins. In other organisms, the origins of venoms are more mysterious. This project will use bioinformatic approaches to trace back the evolution of protein families and how they went from just a regular protein in the genome to one that is venomous.

Prof Alexander Mikheyev

Nano-to-atomic materials for energy conversion

Development of advanced next-generation catalytic materials for nano-to-atomic energy conversion technologies, such as water splitting, CO2 reduction to value-added fuels/chemicals, and/or N2 reduction to ammonia.

A/Prof Zongyou Yin

Novel phase materials for batteries

Development of nano phase materials for the redox electrodes in the rechargeable metal-ion/sulfur batteries with exploring how the nano polymorphism could tune the intrinsic properties and hence improve the electrochemcial activities of batteries. 

A/Prof Zongyou Yin

2D perovskite for optoelectronics

Development of two-dimensional (2D) ultra-stable perovskites for optoelectronic applications, such as solar cells and/or light emitting diodes, with in-depth understanding on how to improve the materials stability and extend its lifetime in the harsh conditions.

A/Prof Zongyou Yin

Machine learning for catalyst screening

Data-driven machine/deep-learning aided design and high throughput synthesis of customized functional materials for solar fuels production.

A/Prof Zongyou Yin

Ferroelectric/antiferroelectric energy conversion: fabrication and characterisation *

The targeted metal oxides will be first synthesized by the solid-state reaction under various conditions, following detailed chemistry and structure as well as property characterisation and analysis using the start-of-the-art facilities/techniques. 

Prof Yun Liu and Dr Teng Lu

Nanostructure and nanoassembly of functional materials via thin film deposition technique *

The non-traditional materials will be designed and developed for applications in energy conversion and storage, or biosensing.

Strong background is required in materials physics. Experience in physical method for thin film deposition and characterisation is preferred. 

Prof Yun Liu and Dr Teng Lu

Catalysts: design and synthesis *

The project includes the design and nanofabrication of nanocatalysts as well as their PC/PEC/EC characterisation.

Prof Yun Liu and Dr Teng Lu

3D printing electronics

Additive manufacturing is changing the way we make things. This project will focus on the development of a new technique to print metals, polymers and ceramics in the one device. This will enable a new way to manufacture electronics.

Prof Luke Connal

Sustainable plastics from waste

Plastic waste is a growing and significant environmental concern. This project will look at developing promising waste stream as feed stocks to prepare sustainable plastics. This will decrease plastic waste and reducing environmental emission.

Prof Luke Connal

Documentation Issues in Scientific Software *

Scientific software is coded for research purposes (e.g., ML/DL algorithms, statistical software, etc.), and given current trends of open science, it aims to be shared and reused. However, quite often this SciSoft (if not corporative) is poorly documented [see Vidoni, JSS2022]. This project aims to explore existing SciSoft OSS, and categorise common documentation issues by type of software, and crossing the findings with a developers' survey.

Dr Melina Vidoni

Cryptography and Formal methods *

Examining the security of the deployed cryptographic using machine assisted tools  

Dr Thomas Haines

Classification of CVE's by Availability of Object Capability Solutions *

Exploring the existing CVE and their categorisation to discover how applicable existing object capability solutions are to fixing the vulnerabilities.

Dr Alex Potanin

Spread of Information in Social Networks *

The purpose of this project is to improve our understanding of how the members of a community form their opinions through interactions with each other, from a theoretical perspective. In particular, you study a majority based opinion diffusion model which is designed to mimic the opinion formation process over social networks. The project has a mathematical part, where you theoretically investigate the model on various random graph models, and a programming part, where you need to design and implement different experiments on the graph data from real-world social networks to support your theoretical findings. Please check out the paper "Majority Vote in Social Networks: Make Random Friends or Be Stubborn to Overpower Elites" by Charlotte Out and Ahad N. Zehmakan for an introduction to the majority model and the outcomes of a similar project.

Requirements:1. Deep understanding of graph theory. (Familiarity with different random graph models and social networks is a plus, but not required.) 2. Good knowledge of probability theory. (Familiarity with Markov chains is an advantage.) 3. Excellent programming skills (ideally C++, Go or Python).

Dr Ahad N. Zehmakan

Debugging (and Synthesizing) Control Codes *

To control complex physical processes, large and detailed control codes are developed iteratively, by a range of stakeholders, over years. Through a process of iterative refinement, and trial and error, the codes evolve into complex computer programs to support a range of simulation and real world contexts. We are interested in collaborative research programs that investigate the used of symbolic AI tools, and/or model checking tools, for use in eliminating errors that emerge in codes due to their size and complexity. This is a speculative project, and there are a number of angles of attack that would suite a variety of disciplinary backgrounds. We have two domain interests, adaptive optics and toroidal plasma confinement.

Dr Charles Gretton

Data-centric computer vision *

Data and learning algorithms are two pillars in computer vision. While the latter has been widely studied in the community, it remains largely unknown how to understand, visualize and optimize data. This research will be built on existing outcomes in our group in data-centric vision and is publication driven. We aim to solve the most fundamental problems in computer vision / machine learning or the most useful applications in this area.

Important that scholars have experience in deep learning, computer vision, machine learning research.

Dr Liang Zheng

Bayesian deep learning *

This project investigates the promises and pitfalls of merging Gaussian processes and modern deep networks, and in particular, its impact on uncertainty calibration and downstream applications such as active learning and out-of-distribution detection.

Machine learning research experience is required. Experience in probabilistic ML and deep learning is a plus.

Dr Thang D. Bui

Bayesian inference of Earth's viscosity *

The viscosity of Earth’s mantle controls mantle convection, maintains the gravitational potential, and long term sea levels.  This project will apply Bayesian inference against a variety of observations to construct a consistent model of the density and viscosity of the Earth's mantle. This project involves working with codes in an HPC environment and collaboration between researchers from CECS and RSES.

Programming experience in some or all of python, C/C++, and/or Fortran required.

Dr Rhys Hawkins

WHO/UNICEF Baby Friendly Hospital Initiative

What are the barriers and facilitators for the Baby Friendly Hospital Initiative?

Project could also include maternity services audit for greenhouse gas impacts in different countries.

Honorary Associate Professor Julie Smith

Measuring the economic value of breastfeeding and breastmilk

How is the Mothers Milk Tool able to advance advocacy for investments in breastfeeding protection, promotion, and support?

Project could also include greenhouse gas impacts of high milk formula usage in different countries.

Honorary Associate Professor Julie Smith

Social protection gaps for maternity

Comparative exploration of evolution of social protections for maternity in India and Australia in the context of wage systems and the informal or unwaged sector.

Honorary Associate Professor Julie Smith

Department of Global Health, National Centre for Epidemiology and Population Health

Research on interactions between infections and chronic conditions in Indonesia.

Dr Matthew Kelly (lead)
Dr Kinley Wangdi
Dr Haribondhu Sarma
Prof Darren Gray

Department of Global Health, National Centre for Epidemiology and Population Health

Research on Neglected Tropical Diseases in Indonesia and their socio-economic and sanitation and hygiene drivers

Dr Matthew Kelly (lead)
Dr Kinley Wangdi
Dr Haribondhu Sarma
Prof Darren Gray

Analysis of Dynamic of Communicable Diseases (Diarrheal, Dengue Fever, And Measles) during the Covid-19 Pandemic in Indonesia

To study the epidemiology of dengue, diarrhoea, and fever in Indonesia using the national surveillance data.

Dr Kinley Wangdi

Out of Pocket Costs of Health Care and Medicines/ Department of Health Services Research and Policy *

Out of pocket costs of health care and medicines for individuals and families: an international policy review.

Dr Jane Desborough

Realist review *

Understanding the implementation of interventions to improve health outcomes among people with multibody conditions: A realist review

Dr Uday Yadav

Associate Professor Rafat Hussain (primary); Dr Danish Ahmad (secondary)

(Note: both supervisors have expertise in and experience in research involving Indian and Australian health systems.)

Analysis and Partial Differential Equations: Pierre Portal ~ 

Harmonic, stochastic, and/or functional analysis of PDE and SPDE. The specific project will be tailored to the scholar's experience and interest. 

This project is only available for undertaking to start in July 2024 onwards

Assoc Prof Pierre Portal

Conduct a survey of recent results in the automorphisms of right-angled Coxeter groups, exploring the solution to the word problem in these groups.

Preferred - undergraduate level students.
The students should have taken a course in abstract algebra and a course in topology.  Some coding skills are desirable.

Assoc Prof Adam Piggott

Using mathematics for truth-telling in mathematics history; collection and investigations of sparse archival data on non-Western mathematics using phylogenetic and Bayesian methods and new AI tools; transmission of mathematics within and between cultures; decolonisation of mathematics.

The project would suit a student from an Indigenous minority background who is interested in non-Western and Indigenous mathematical knowledge.

Several of the mathematicians in Algebra/Topology at the Mathematical Sciences Institute will be willing to host projects at the interface of several algebraic and topological areas.  

The project will be tailored to the interests and background of the student.

A dipole is a simpler alternative magnetic confinement configuration that produces closed field lines.  In the laboratory, a dipole field can be constructed by levitating a superconducting magnetic coil. This project would compute the field by solving the Grad-Shafranov equation (the governing equation for the magnetic field) out to the vacuum vessel, and compute particle orbits and confinement. 

A background in computational science and modelling is desirable.

Develop a Physics Inspired Neural Network to solve for tokamak equilibrium, and compare it to analytic solutions.

A background in computational science and modelling is desirable.

In this project, the student will be introduced to one of the many areas of mathematics motivated and inspired by String Theory and Quantum Field Theory. This could be, but is not limited to, Dualities, Generalised Geometry, Conformal Field Theory, (bundle) Gerbes, Yang-Mills and Seiberg-Witten gauge theory, Gromov-Witten invariants, etc. and will involve mathematics such as Differential Geometry, Symplectic Geometry, Algebraic Topology, (infinite dimensional) Lie Algebras, Operator Algebras, and Vertex Operator Algebras.

The project will be tailored to the interests and background of the student.

In this project, we will explore some current research topics in representation theory and related areas through implementing computational packages in computer algebra systems such as SageMath. Prior experience with programming, particularly Python, is strongly recommended for this project. The precise mathematical topic chosen will be tailored to the interests and background of the student.

Prior programming background required. A background in Python is ideal, but any other programming language is fine. Ideally have taken at least two courses in abstract algebra.

Classical and modern topics in the geometry of algebraic curves and surfaces. The specific project will be tailored to the student's interests and background.

Background in commutative algebra or algebraic geometry is highly desirable.

Cells live in an environment filled with viscous flowing fluid. We argue that extracellular fluid (ECF) properties not only control the rate of diffusion but also shape the physical forces that a cell experiences. It is therefore plausible that fluid mechanical forces precede other taxis. We will create new cell-based assays that can accelerate the micro-Avatars (organoid, spheroids) for human disease diagnosis and therapy.

Background in Cell culture, Microscopy Imaging, Imaging Analysis, Basic Biophysics or Biochemistry is preferred.

Investigating how variants in genes involved in cytokine signalling pathways contribute to the pathogenesis of autoimmune diseases such as lupus.  We have developed unique mouse models that carry genetic variants from lupus patients. This project will examine whether genetic variants increase immune cell responsiveness to cytokines and what effects this has on cell activation and tolerance mechanisms.  

Background in general lab cellular and molecular biology techniques.  Experience with Flow cytometry is advantageous but not essential.  Must be willing to be involved in animal studies. 

This project will harness novel TLR7 inhibitors and examine their efficacy in vivo to prevent the generation of autoantibodies in auto-immune mouse models.  

Background in general lab cellular and molecular biology techniques.  Experience with Flow cytometry is advantageous but not essential.  Must be willing to be involved in animal studies. 

Modelling and interpretation of RNA molecules with deep learning for applications in RNA programming and therapeutic design. 

Background in machine learning, deep learning, and software development, with experience in applications in genomics or transcriptomics.

Personalised medicine in autoimmune disease ~ ^

This project involves the identification and demonstration of gene variants contributing to immune dysfunction and autoimmune disease. We demonstrate how human mutation alters protein function, leading to disturbed immune responses, and therefore autoimmunity. Using human and CRISPR mouse models we identify new mechanisms of autoimmunity, ways to treat with personalised medicine, and create models of autoimmune/autoinflammatory disease.

Background in wet lab skills desired.

Assoc Prof Simon Jiang

Experimental nuclear structure *

Fundamental and applied aspects of nuclear science at Australia's Heavy Ion Accelerator Facility. Projects use gamma-ray, electron and particle spectroscopy techniques to study atomic nuclei across a range of physics themes, including studies of the structure and shapes of atomic nuclei, nuclear lifetime measurements by direct timing and Doppler-shift methods, and magnetic moment measurement by hyperfine interaction techniques.

Dr AJ Mitchell, Prof Greg Lane, A/Prof Tibor Kibedi, Prof Andrew Stuchbery

Understanding energy dissipation in colliding quantum many-body systems

The development, characterisation and optimisation of a new gas ionization detector system, with the aim to use this new system, and our 15 million Volt heavy ion accelerator, make precision measurements of the earliest stages of energy dissipation through the measurement of multi-nucleon transfer reactions, identifying the mass, charge and kinetic energies of nuclear reaction products.

Dr Kaitlin Cook, Prof Mahananda Dasgupta, Prof David Hinde

Nuclei that fall apart: understanding the role of sub-zeptosecond processes in reactions of weakly-bound nuclei

Experimental investigations aimed at understanding the interactions of weakly-bound nuclei using the Breakup Array for Light Nuclei (BALiN) at the ANU. BALiN is a large-position sensitive silicon detector array designed to make complete measurements of the fragments produced after the breakup of weakly-bound nuclei. Students will perform analysis of breakup and fusion reactions, and may perform theoretical modeling and simulations.

Dr Kaitlin Cook, Prof Mahananda Dasgupta, Prof David Hinde

Towards a global understanding of nuclear fission

At ANU, the CUBE detector array’s unprecedented angular coverage allows us to measure high-resolution mass-angle distributions of fission fragments. Using these high-statistics measurements, we gain unprecedented insights into fission and its competing processes. Students involved in this project will use CUBE data to further our understanding of nuclear fission across the chart of nuclides.

Dr Kaitlin Cook, Prof Mahananda Dasgupta, Prof David Hinde

Time dependence of nuclear fusion

The project will involve writing high performance computer code to simulate nuclear fusion using time-dependent coupled channels models. The time dependence of the calculations will give the ability to address questions such as timescales for quantum tunnelling and new methods for fusion cross section calculation.

Dr Ed Simpson

Positron scattering experiments involving targets of fundamental interest *

This project will help perform measurements and analysis of positron scattering using a state-of-the-art beamline. The data will be used to test the latest quantum models of low energy scattering.

Dr James Sullivan

Applications of Accelerator Mass Spectrometry (AMS)

Projects in AMS applications and methodology using the highest energy AMS Tandem accelerator system in the world. Current applications include radioactivity in traditional foods, exposure age dating, astrophysics, hydrology, and environmental studies. 

A/Prof. Steve Tims, Dr. Michaela Froehlich, Dr. Stefan Pavetich, Dr. Zuzana Slavkovska, Prof. Keith Fifield

Radio impurities in Dark Matter detectors

This project is involved with determination of the radionuclide concentrations in materials used for Dark Matter detectors and which will ultimately set detector sensitivity.

Dr. Michaela Froehlich, Dr. Zuzana Slavkovska, A/Prof. Steve Tims

Chronology of the early solar system

The project is involved with developing new techniques which could help establish the timeframe for processes occurring soon after the solar system formed.

Dr. Stefan Pavetich, Dr. Michaela Froehlich, A/Prof. Steve Tims

Radioactivity in the environment

This project will use state of the art chemistry techniques to assess uranium and plutonium fallout from nuclear weapons tests in a range of samples.

Dr. Michaela Froehlich

Directional Dark Matter Measurements with CYGNUS *

Our group at the ANU hosts Australia's CYGNUS prototype detector, CYGNUS-1. A number of experimental and computational projects are available for students with an interest in this area.

Dr. Lindsey Bignell, Dr. Zuzana Slavkovska, Dr. Peter McNamara, Prof. Greg Lane

The SABRE Dark Matter Experiment *

SABRE is an Australian dark matter experiment due to come online in 2023. Software development and computational/analysis studies are available.

Dr. Lindsey Bignell, Dr. Zuzana Slavkovska, Dr. Peter McNamara, Prof. Greg Lane

Optimising a Neutron Star Extreme Matter Observatory *

This project aims to bridge the modelling of the neutron star population and nuclear equation of state with the modelling of the detector configuration of a Neutron Star Extreme Matter Observatory, in order to maximise the probability to observer the aftermath of binary neutron star mergers in the gravitational-wave channel.

Dr Ling (Lilli) Sun and Dr Bram Slagmolen

Newtonian-noise sensor readout *

This project relates to gravitational wave instrumentation and sensing technologies areas, working on advancing the optical scientific readout of the Newtonian-noise sensor being commissioned at the Centre for Gravitational Astrophysics.

Dr Bram Slagmolen

Displacement sensing for seismic isolation systems. *

This project will involve working on developing displacement sensors for intra- and inter-seismic isolation system readout, for gravitational wave instrumentation and sensing applications.

Dr Bram Slagmolen

Squeezed light for GW detectors *

This project will develop future squeezed light technologies in the audio band frequency range. This technology is designed to be compatible with, and to enhance the sensitivity of future gravitational wave (GW) detectors.

Dr Terry McRae

Laser stabilization improvements via thermal noise reduction *

This project uses multiple spatial modes to lower the effective thermal noise limit in laser stabilization.

Dr. Andrew Wade

Nonreciprocal nanophotonics: disruptive nanotechnology to control light *

Photonics in the 21st century is undergoing revolutionary transformations driven by nanotechnology. Today we can nanofabricate functional optical components hundreds of times thinner than a human hair that match the performance or even outperform conventional bulky optics. The following lines of research are available: optical experiments, clean-room nanofabrication, analytical and numerical modelling of light-matter interactions.

Dr. Sergey Kruk

Quantum photonics with nanostructued metasurfaces

Development of nanostructured optical metasurfaces for generation, transformation, and imaging of multi-photon quantum states.

Background in quantum optics and/or nanophotonics is desirable.

Prof Andrey Sukhorukov

Two dimensional materials based future electronic devices

The universal methods to produce nanoscale functional materials with single or a few atomic layers thicknesses, and implementing them in future electronics and sensors.

Background in nanoscale materials synthesis is preferred.

Dr Azmira Jannat

Nanowire lasers for applications in nanophotonics

This project aims to investigate the concepts and strategies required to produce electrically injected semiconductor nanowire lasers by understanding light interaction in nanowires, designing appropriate structures to inject current, engineer the optical profile and developing nano-fabrication technologies. Electrically operated nanowire lasers would enable practical applications in nanophotonics.

Prof. Chennupati Jagadish and Prof. Hoe Tan

Micro-ring lasers for integrated silicon photonics

The project aims to investigate compound semiconductor micro-ring lasers on silicon substrates using selective area growth to engineer the shape of the lasing cavity at the nano/micro-scale. This project will open up new doors to the industry since an integrated laser which is reliable, efficient and easily manufacturable is still elusive in Si photonics.

Prof. Hoe Tan and Prof. Chennupati Jagadish

Shape engineering of semiconductor nanostructures for novel device applications

This project aims to investigate the growth of III-V semiconductors on pre-patterned nanotemplates. By using different shapes and geometries, it is envisaged that these nanostructures will provide novel architectures for advanced, next generation optoelectronic devices.

Prof. Hoe Tan and Prof. Chennupati Jagadish

Optical metasurface bio and gas sensing *

Metasurface optical sensors for bio and gas sensing- development of dielectric metasurfaces as optical sensors for refractometric detection of bio and gas molecules for healthcare and environmental monitoring. Specific aims of the project include: design, fabrication, characterisation, optimisation and, modification of these metasurfaces for sensing.

Dr Buddini Karawdeniya and Prof Dragomir Neshev

Solid-state nanopore single-molecule level sensing *

Solid-state single nanopores are nanometer diamater channels through an insulating membrane. These nanopores could act as single-molecule sensors by monitoring the change in resistance as molecules pass through the pores under an applied bias in an electrolyte solution. Specific aims of the project include:  fabrication, characterisation, optimisation and, modification of these nanopores for sensing as well as designing new protocols for complex sample testing.

Dr Buddini Karawdeniya and Prof. Patrick Kluth

Flexible quantum well nanowire LEDs

III-V compound semiconductor nanowire (NW) light emitting diodes are promising nanoscale light sources for next generation integrated photonics. This project involves the design, growth, fabrication and characterisation of flexible III-V quantum well nanowire light emitting devices with wavelength ranging from 1.3 to 1.6 μm for optical communication applications. Both experimental and simulation work will be performed to understand the structural, optical and electrical properties of the nanowire LED devices.

Background in solid state physics and/or semiconductor physics is desirable.

Prof Lan Fu

Single-Photon Nanowire Detectors: Opto-Electro-Thermal Physics and Modelling

Students will be working on constructing a self-consist energy-balanced model for single-photon detector (SPD) made of one-dimensional nanowires, for which the device is treated as a tightly coupled optical, electrical and thermodynamic system. SPD is a fundamental building block in quantum technologies and nanowire-based SPD promises to deliver superior performance thanks to its nanoscale size and high material quality.

Dr. Zhe Li and Prof Lan Fu

Non-Hermitian dynamics of exciton-polariton quantum fluids

Exciton polaritons, hybrid particles of light and matter in a semiconductor, can form Bose-Einstein condensates and superfluids in an environment with gain and loss. Unlike conservative systems where particle number is conserved, these quantum fluids are described by non-Hermitian Hamiltonians due to the underlying gain and loss. Recent advances in non-Hermitian physics have predicted that the intricate balance of gain and loss will result in interesting dynamics, e.g., power oscillations and non-orthogonality of energy eigenstates, self-acceleration, etc. In this project, you will probe these nontrivial effects by carefully tuning the parameters that control the local gain and loss of polariton quantum fluids. Results of these experiments will form an important step in harnessing nontrivial effects which can eventually find applications in polaritonic devices.

ANU Polariton BEC group, Prof Elena Ostrovskaya, Prof Andrew Truscott, and Dr Eliezer Estrecho

Towards a Quantum-Enhanced Atomic Gravimeter

The quantum sensors group uses lasers to manipulate atoms, allowing them to be cooled such that quantum wave-like effects can be observed, such as interference in the atomic wavefunction. Atom interferometry can provide very precise measurements of gravity with very low base-line drift. This capability will eventually allow for monitoring of underground water movement through changes in the gravitational field. Our group is currently working towards the demonstration of the first atomic gravimeter with sensitivity enhanced by quantum entanglement. This will allow for more precise measurements for a given device size. This experimental project will involve characterising the quantum noise on the existing matterwave gravimeter in the Quantum Sensors group in DQST. In particular, the student will work atom counting with sub-shot-noise resolution, and then exploring the effects of atomic interactions and imperfect mode-overlap on the quantum noise of the device.

Prof. John Close, Dr. Simon Haine, Dr. Ryan Thomas

Interactions between Antimatter and Ultracold Atoms

Antiparticles and antimatter have progressed from theory and science fiction to become an important and exciting area of pure and applied science. This fundamental atomic physics project will investigate how antimatter and matter interact by experimentally studying the interaction of positrons (the electron anti-particle) with trapped ultracold rubidium atoms. This will require the construction of an ultracold rubidium Magneto-Optic Trap (MOT), using laser cooling and magnetic trapping to produce trapped clouds of rubidium atoms at sub-miliKelvin temperatures.  The scientific aims of the project will be to measure a number of fundamental interaction parameters for positron-rubidium collisions, including cross-sections, ionisation of rubidium and positronium formation, which is a bound state where an electron and a positron combine to form a short-lived exotic atom.  Technically, the project will involve a lot of hands-on experimental work with laser systems, precise electronics, ultra-high vacuum systems, among other techniques.

Dr. Sean Hodgman, Dr. Josh Machacek, Prof. Steve Buckman

Mass-entangled ultracold helium atoms

The unification of general relativity and quantum mechanics remains one of the great challenges in modern physics. A fundamental aspect that separates the microscopic world of ‘quantum weirdness’ from regular classical physics that we are much more intuitively familiar with is entanglement. Two quantum particles that interact with each other become entangled, such that subsequently measuring or manipulating the properties of one half of the pair will affect the other entangled partner.  This experimental project aims to create entangled states where the entanglement is between atoms of different mass.  Such an entangled state is created by individual collisions between pairs of metastable helium atoms from a degenerate Fermi gas (3He atoms) and a Bose-Einstein condensate (4He atoms).   We will exploit the unique capabilities of ultracold helium atoms trapped in the long lived (lifetime ~ 2 hours) metastable state (designated He*) to conduct a number of experiments testing various fundamental aspects of quantum entanglement.  The novel single atom detection He* provides allows the correlations necessary that show entanglement to be directly measured.  Scientific goals of this project include using 3He* to measure anti-bunching (a manifestation of the Pauli exclusion principle), studying the suppression of bosonic bunching due to fermions and investigating gravitational decoherence. Technically, the project will involve a lot of hands-on experimental work with laser systems, precise electronics, ultra-high vacuum systems, among other techniques.

Dr. Sean Hodgman and Prof. Andrew Truscott

UNESCO Chair in Science Communication for the Public Good *

Using approaches from science communication and the social and cultural studies of science, this project will explore imaginative ways of representing the inextricable linkages between environmental sustainability, social equity and economic prosperity. A case study (e.g., planetary health; ‘commons’ concepts) will be chosen on the basis of the student’s and supervisors’ background and interests.

A/Prof Sujatha Raman; Dr Merryn McKinnon, Dr Dan Santos; Prof Joan Leach

Precise mix of supervisors will depend on the student's background and selection of case study.

Responsible Innovation in Agricultural Biotechnology *

Informed by science communication and responsible innovation research, this project will look at the role of values, hopes, doubts and deeply held views about food and its production in relation to the agricultural biotechnology revolution (e.g., synthetic biology, gene editing, use of AI in agriculture).  Comparative research on researcher and/or public frames may be undertaken.

Prof Joan Leach and A/Prof Sujatha Raman