Grants & Opportunities

Wearable thermoelectric textiles for portable microelectronics. Wearable thermoelectrics enable the power generation from the temperature difference between human body and ambient temperature by using thermoelectric effect. This project aims to design eco-friendly wearable thermoelectric textiles to realize high-efficiency solid-state power generation and meet individual needs with human comfort and health. The target is to achieve a power density in the as-designed thermoelectric textiles by the optimization of materials and device design. The outcome will open up a new platform for the green and sustainable charge for portable microelectronics, which will lead to an innovative technology for energy management, which will place Australia at the forefront of wearable electronics and textile industry.. Scheme: Linkage Projects. Field: 0912 - Materials Engineering. Lead: Prof Zhi-Gang Chen

Space Resources Environmental Analogue Facility. The Space Resources Environmental Analogue Facility aims to allow researchers to test equipment in realistic Moon/ Mars/ asteroid conditions. It will allow the development of space robotics and techniques to process space rocks. A dirty thermal vacuum chamber replicates temperatures and pressures on deep space objects, while not having the ultra-clean requirement of a more usual spacecraft facility. Moon/ Mars/ asteroid yards simulate the surfaces of those objects. Technologies proven in the new facilities will be qualified to operate on the moon, for example, enabling participation in the space agency’s Moon to Mars program. . Scheme: Linkage Infrastructure, Equipment and Facilities. Field: 0901 - Aerospace Engineering. Lead: Prof Andrew Dempster

Understanding the neural dynamics of integrated perceptual decisions. This project aims to characterise the brain processes involved in perceptual decision-making. While scientists have a good understanding of how people make decisions about the properties of individual sensory inputs, much less is known about how the brain integrates information across multiple sensory sources that differ in their salience and fidelity. The project expects to elucidate the neural mechanisms responsible for these integrative perceptual decisions, using a combination of brain imaging and behavioural measures, computational modelling and real-time neurofeedback. This should provide significant benefits for developing more effective approaches to training individuals in professions that rely on optimal decision-making skills.. Scheme: Discovery Projects. Field: 1701 - Psychology. Lead: Prof Jason Mattingley

Passive biofiltration processes for nitrogen removal from polluted waters. Traditional urban wastewater treatment is energy and resource demanding. By combining principles of Water Sensitive Urban Design (WSUD) with advanced pollutant removal processes, we will create necessary knowledge to underpin development of novel sustainable urban water treatment systems. This project aims to understand and utilise Simultaneous Nitrification, Anammox and Denitrification (SNAD) processes within passive plant-soil-based biofilters for cost-effective removal of nitrogen from a range of polluted urban water sources. The project will open a potential for a new technological advancements in urban water management, while simultaneously providing benefits to the environment and community through greening and waterway protection.. Scheme: Discovery Projects. Field: 0905 - Civil Engineering. Lead: Prof Ana Deletic

Metal Halide Perovskite Spin-Orbit Torque Devices. This project aims to demonstrate a new, highly efficient spin-based electronic device by developing a fundamental understanding into the generation and transport of spin in metal halide perovskite based heterostructures. Using an interdisciplinary approach, this project expects to exploit the beneficial spin properties, low cost and scalable production methods of metal halide perovskites. It is expected that this project will deliver new functionality to these emerging materials to enable their application in highly efficient spintronic devices. These outcomes should provide significant benefits to the Australian advanced manufacturing sector by developing new knowledge, advanced technology and training skilled professionals.. Scheme: Discovery Projects. Field: 0204 - Condensed Matter Physics. Lead: Prof Jacek Jasieniak

Change agents and sustainability transformations in the water sector. The pursuit of sustainable development is a major challenge for Australian communities. System transformations are urgently needed, not just incremental change. While we know much about how to incubate local innovation, how innovation can be scaled to transform systems is not well understood. This project aims to understand how change agents can influence system transformations and how their actions can be enabled and constrained by local conditions and governance arrangements. Its focus is on change agents working to promote urban water innovations and system change. We hope to develop new knowledge on the capabilities and resources that local governments and other actors must deploy to achieve sustainability transformations in Australia.. Scheme: Discovery Projects. Field: 1605 - Policy and Administration. Lead: Prof Briony Rogers

Anomalous Structural Response in Porous Framework Materials. This project targets a key missing link in understanding the host-guest properties of porous framework materials, namely, the dynamic response of host lattices to their external environment and to the inclusion of molecular guests. By combining advanced chemical, physical and structural measurements the project expects to provide the first concerted picture of materials behaviour across an array of scientific and technological settings, with particular focus given to industrially relevant ‘real world’ conditions. This promises to greatly inform the on-going chemical design, formulation and process engineering of these materials, in turn accelerating their development in gas separation, energy storage and device componentry applications.. Scheme: Discovery Projects. Field: 0306 - Physical Chemistry (Incl. Structural). Lead: Prof Stephen Moggach

A Concurrent Multiscale Model for Improved Prediction of Drying Process. This project aims to develop an innovative multiscale model for food drying, which integrates spatial and temporal nonlinear behaviours at different scales. The proposed unifying theory will capture dynamic micro level features and upscale them to macro level features through a concurrent bridging scheme. As cellular elements critically govern the drying process, the fundamental understanding captured through this theory will lead to more accurate prediction of drying kinetics, deformation and quality changes, and hence the development of efficient drying systems. This project will overcome a longstanding research problem and position Australia at the forefront in world drying research to reap substantial economic benefits for Australia.. Scheme: Discovery Projects. Field: 0908 - Food Sciences. Lead: Prof Azharul Karim

Tackling the computational bottleneck in precision particle physics. This project aims to deliver a breakthrough technique in theoretical-computational particle physics, with significant potential for high-precision applications. The project targets some of the most advanced and resource-intensive calculations in particle physics, which are widely used but currently limited by extremely high computational resource requirements. This project expects to develop a novel approach that will vastly reduce the computational complexity while at the same time improving their accuracy relative to the current global state of the art. Expected outcomes include the new methodology itself as well as a full-fledged and open-access simulation code based on it, which should be highly efficient.. Scheme: Discovery Projects. Field: 0202 - Atomic, Molecular, Nuclear, Particle and Plasma Physics. Lead: Prof Peter Skands

Ultrahigh strength maraging titanium alloys for additive manufacturing . This project aims to pioneer an unprecedented class of ultrahigh-strength titanium alloys for 3D printing by capitalising on both the alloy design theory of ultrahigh-strength steels and the unique capability of laser-based 3D printing. The planned research expects to significantly advance the knowledge base of advanced metallic materials and metal 3D printing via atomistic level characterisation and systematic mechanical property evaluation in relation to specifically tailored 3D printing conditions. Expected outcomes include a group of ultrahigh-strength novel titanium alloys for 3D printing and a new alloy design theory. This should provide significant benefits to the manufacturing industry to support the national economy and security.. Scheme: Discovery Projects. Field: 0912 - Materials Engineering. Lead: Prof Qian Ma

A novel quantitative risk assessment framework for fractured rock slopes. Rock slope instabilities present grave risks to life and to the serviceability of major Australian infrastructure such as mines, roads and railways, and to coastal recreation areas. This project aims at developing tools for the quantitative risk assessment of fractured rock slopes based on rigorous rock mechanics, numerical methods and probabilistic methods. The research outcomes will improve our understanding of natural and engineering rock slopes, reduce the uncertainties in the prediction of the safety of infrastructures, and thus minimize the loss and damage. The research outcomes can also be used to maintain workplace safety in mining environments and avoid disruptions to production. . Scheme: Discovery Projects. Field: 0905 - Civil Engineering. Lead: Prof Jinsong Huang

New methods for modelling real-world extremes. This project aims to develop new theory and methods for analysing and predicting extreme values observed in real-world processes. Many existing techniques are limited by convenient mathematical assumptions that commonly do not hold in practice: dependence at asymptotic levels, process stationarity, and that the observed data are direct measurements of the process of interest. As a result, using these techniques may produce undesirable results. Expected outcomes of this project include theoretically justified data analysis techniques that can accurately model extreme values seen in the real world. Project benefits include more realistic analyses of nationally important applications in climate, bushfire insurance risk, and anomaly detection.. Scheme: Discovery Projects. Field: 0104 - Statistics. Lead: Prof Scott Sisson

Ancestral state reconstruction and the evolution of Australian marsupials. This project aims to investigate the diversification and evolvability of Australian marsupials, by enabling genomes, ecology and 3D skeletal shape to synergistically inform evolutionary inference. This project expects to generate new knowledge of the processes that have promoted and maintained marsupial biodiversity, by tracing their evolution across a fossil gap that spans half of their history. Expected outcomes of this project include improved methods for merging fossils into the tree of life and for reconstructing the ecology and morphology of ancestors on phylogenetic trees. This should provide significant benefits, such as a coherent evolutionary context for informing research on marsupial biology, ecology and conservation.. Scheme: Discovery Projects. Field: 0603 - Evolutionary Biology. Lead: Prof Matthew Phillips

Towards predictive 4D computational models for the heart. This project aims to develop novel high-performance numerical algorithms for multiscale and multiphysics PDEs with dynamic interfaces, the development and analysis of a novel PDE system modelling the electromechanics of heart and torso, and the combination of these numerical techniques and models to deliver predictive tools for patient-specific simulations of the cardiac function. It involves the design and mathematical analysis of space-time variational discretisations on embedded meshes, 4D computational geometry algorithms for numerical integration and multilevel solvers. By combining scientific computing and machine learning, one anticipated outcome of this research is a new generation of nonlinear PDE approximations and solvers.. Scheme: Discovery Projects. Field: 0103 - Numerical and Computational Mathematics. Lead: Prof Santiago Badia

Can green investors drive the transition to a low emissions economy? The project aims to develop a game-theoretical approach to model the impact of climate change on financial markets by studying the interactions between the government, companies and investors. Expected outcomes include novel solution concepts for stochastic games with heterogeneous beliefs, asymmetric information, and model uncertainty, as well as optimal investment and production strategies under climate driven economic transitions. Results will be used to validate and improve the recently launched Australian based climate transition index. The project should yield significant benefits for the financial industry and investors by providing novel insights into financial risks during the transition to a low emissions economy.. Scheme: Discovery Projects. Field: 0104 - Statistics. Lead: A/Prof Ivan Guo

Artificial Intelligence, Robots, and Agriculture: Social and ethical issues. This project aims to investigate the social and ethical issues raised by the use of artificial intelligence and robotics in agriculture. By combining social science research methods and philosophical analysis, the project aims to generate new knowledge in bioethics and applied ethics. Expected outcomes of this project include an account of the social and ethical issues farmers, rural communities, and consumers anticipate arising from these technologies, improved understanding of these issues, and an account of how these groups would like to see these issues addressed. This should help Australia benefit from the responsible use of artificial intelligence and robotics in agriculture.. Scheme: Discovery Projects. Field: 2201 - Applied Ethics. Lead: Prof Robert Sparrow

The Holocaust as an Australian Story, 1933-1954: An Intimate History. This project intends to explore the connections between Australian and the Holocaust between 1933 and 1954. In doing so, the project will generate new ways of understanding how Jewish families and the community responded to, and actively resisted, Nazi genocide in Europe. Through detailed and micro-historical archival analysis, it will argue that the Holocaust was an event that both touched and changed Australia during a period of immense local transformation. The expected outcomes include a deeper understanding of the personal connections that have existed between parts of Australia's society and victims of genocides worldwide, and a new migrant and family-centred Australian history of the Holocaust.. Scheme: Discovery Projects. Field: 2103 - Historical Studies. Lead: A/Prof Jan Lanicek

Circadian photoreceptor sensitivity and impacts of modern lighting on sleep. Light has powerful non-visual effects, including effects on sleep. These non-visual effects are mediated by cells in the eye that are most sensitive to blue light. There are large individual differences in sensitivity to non-visual effects of light that are not understood and that would give great insight into suboptimal sleep, which has become widespread in modern society. This study will be the first systematic examination of individual differences in the effect of blue light on sleep and will uncover how alterations in the gene responsible for the effects of blue light on sleep (OPN4) contribute to these differences. This will lead to scalable individualised solutions to the unmet problem of how modern light environments impact sleep.. Scheme: Discovery Projects. Field: 1701 - Psychology. Lead: A/Prof Andrew Phillips

MemberGuard: Protecting Machine Learning Privacy from Membership Inference. Machine Learning has become a core part of many real-world applications. However, machine learning models are vulnerable to membership inference attacks. In these attacks, an adversary can infer if a given data record has been part of the model's training data. In this project, the team aims to develop new techniques that can be used to counter these attacks, such as 1) new analytical models for membership leakage, 2) new methods for susceptibility diagnosis, 3) new defences that leverage privacy and utility. Data-oriented services are estimated to be valuable assets in the future. These techniques can help Australia gain cutting edge advantage in machine learning security and privacy and protect its intellectual property on these services.. Scheme: Discovery Projects. Field: 0803 - Computer Software. Lead: Prof Sheng Wen

Optimisation of piezoelectric metamaterials: Towards robotic stress sensors. This project aims to design new piezoelectric material microstructures that can enhance the measurement of complex local stress states within robotic limbs. The project expects to generate new knowledge of the achievable properties of multi-poled piezoelectric materials and develop computational tools for the analysis and structural optimisation of such materials. The designed microstructures may revolutionise piezoelectric sensor technology. Expected outcomes include manufactured proof-of-concept sensors that enable measurement of local stress fields. This should provide significant benefits, such as improved future robot capability and reliability, and research training for next-generation Australian computational mathematicians. . Scheme: Discovery Projects. Field: 0102 - Applied Mathematics. Lead: A/Prof Vivien Challis

Reducing Cyberbullying: Turning Bystanders into Constructive Defenders. This project aims to develop a theoretically driven internet-based training program to reduce cyberbullying among adolescents. It expects to discover how to turn passive bystanders (onlookers) into active constructive defenders who help to stop cyberbullying and assist those being cyberbullied. Expected outcomes include developing the first theoretical model of bystanders in the cyberbullying context and practical evidenced-based methods to increase constructive bystanding. The provision of an accessible training program for use in schools will produce significant benefits for the well-being of Australian youth by reducing cyberbullying and increasing the civility of Australian youth. . Scheme: Discovery Projects. Field: 1701 - Psychology. Lead: Prof Kay Bussey

Hunger flexibly modifies hypothalamic neural circuits responding to threat. Animal and human behaviour frequently involves a choice between actions or goals with conflicting positive and negative outcomes. However, the appropriate action or goal in conflicting situations often depends on physiological pressures like hunger, stress and mating opportunities. For example, the need for resources within an environment, such as food, drives approach behaviour, whereas threats to survival, such as predator cues, enhance avoidance behaviour. This project will uncover the neural circuitry and endocrine mechanisms through which hunger influences hypothalamic threat-detecting circuits that suppress food intake. These studies provide a new hypothalamic model to understand risk/reward decision in the brain.. Scheme: Discovery Projects. Field: 1701 - Psychology. Lead: Prof Zane Andrews

Rethinking walking infrastructure: AI-assisted footpath network modelling. The project aims to develop new macroscopic and network wide transport modelling and optimisation methodologies specific to walking suitable for large scale footpath network planning applications. The expected outcomes of this project are a novel Artificial Intelligence (AI) assisted tool for automated generation of footpath network attributes, and a set of equilibrium and non-equilibrium seeking walking route choice models driven by real-world individual walking trajectory data. This project will deliver a step-change in transport planning for walking infrastructure that will lead to increased active transport and improved urban infrastructure planning, thereby resulting in significant gains in population and environmental health.. Scheme: Discovery Projects. Field: 1507 - Transportation and Freight Services. Lead: A/Prof Meead Saberi

Advanced Bayesian Inversion Algorithms for Wave Propagation. This project aims to improve algorithms for detecting hidden items by developing new computational mathematical techniques capable of reconstructing the shape and location of objects using electromagnetic waves. This project expects to generate new knowledge in the areas of Bayesian Inversion and computational wave propagation. Expected outcomes of this project are algorithms that can be developed for use in nonintrusive radio wave security scanners. This should provide benefits such as the capability to scan a crowd without a checkpoint, which will have the potential to improve security in public places.. Scheme: Discovery Projects. Field: 0103 - Numerical and Computational Mathematics. Lead: Dr Stuart Hawkins

Bioengineering self-assembly of innovative core-shell nanomaterials . This project aims to generate new knowledge in nanoscale bioengineering. It expects to develop a disruptive platform technology for design and manufacture of advanced nanomaterials to provide solutions for unmet needs in industry. It will explore an innovative bioengineering concept that merges biopolymer synthesis with virus-like particle self-assembly to produce innovative tunable core-shell nanomaterials. Expected outcomes are the development of advanced techniques for design and manufacture of innovate nanomaterials with enhanced stability and performance. This innovative platform technology for precision engineering of high-performance nanomaterials should provide significant benefits for biotechnological and agricultural industries.. Scheme: Discovery Projects. Field: 1007 - Nanotechnology. Lead: Prof Bernd Rehm