Grants & Opportunities

Heat transfer and fluid flow in geomaterials: Physics-inspired AI framework. Processes involving fluid flow or heat transfer are of critical importance in engineering applications (e.g., in dams, geothermal systems, oil & gas production). Though largely overlooked, microstructural features control these processes in geomaterials. This project aims to exploit advances in high-resolution 4D imaging to extract essential microstructural information to: 1) identify new parameters that better capture pore and particle properties, connectivities and pathways, and 2) develop advanced predictive analytics tools. This will improve fundamental understanding of the link between microstructure and fluid and heat flows at the engineering scale, and provide predictive tools to reduce risk and costs to industry.. Scheme: Discovery Projects. Field: 0905 - Civil Engineering. Lead: Prof Guillermo Narsilio

Sustainable Hydrogen Production from Used Water. The project aims to address the pressing challenge of water scarcity in hydrogen production by developing an innovative approach of using used water as the feed for water electrolysis. The project will result in an in-depth understanding of the impacts of water impurities in used water on the performance and durability of water electrolysers, and develop guidelines for the design of highly durable water electrolysers and the operation and upgrade of existing wastewater treatment plants. The project will advance the practical applications of water electrolysis for scalable and sustainable hydrogen production and help Australia secure a leading position in the global emerging hydrogen economy.. Scheme: Linkage Projects. Field: 0912 - Materials Engineering. Lead: Prof Xiwang Zhang

Iron-based high-temperature topological superconductors. Because of topological non-trivial nature and zero resistance, topological superconductors are very promising in the application of future electronic devices. This project aims to achieve intrinsic and robust topological superconductors at high-temperature by engineering iron-based superconductors via precisely controlling the defects, chemical doping, interface and substrates. Expected outcomes of this project will include high-temperature iron-based topological superconductors as new material platforms for the study of exotic properties of topological superconductivity and future application in high-temperature fault-tolerant quantum computing. . Scheme: ARC Future Fellowships. Field: 0912 - Materials Engineering. Lead: Dr Zhi Li

Evaluating the Quality of Scientific Research in Psychology. Buttressing public trust in science has never been more important, yet many sciences are experiencing a crisis of confidence. The current system of relying on journal prestige to calibrate our confidence in individual research findings has created corrupt incentives for scientists, and risks undermining public trust in science. Thousands of scientists and institutions around the world have indicated that research evaluation needs an overhaul by signing the Declaration on Research Assessment. One solution is to create a public, transparent, and valid process for producing and sharing expert evaluations of individual papers. This project aims to launch this reform in psychology, and partner with PREreview to help it spread to other fields.. Scheme: ARC Future Fellowships. Field: 1701 - Psychology. Lead: Prof Simine Vazire

A Bayesian Approach to Distributed Estimation for Multi-Object Systems. This project aims to develop new signal processing techniques that facilitate autonomous technologies for environmental perception, with the ability to efficiently process large data volumes from multiple sensing modalities. Rapid advances in sensors and networks have led to a digital data deluge, from which extracting useful information presents new technological challenges and opportunities. To address this development, this project seeks to develop new distributed solutions for statistical estimation, which are specifically designed for dynamic systems with multiple object states, and are inherently scalable and robust. The potential benefits include new technologies for smart cities, autonomous infrastructure, and digital productivity.. Scheme: ARC Future Fellowships. Field: 0906 - Electrical and Electronic Engineering. Lead: Prof Ba Tuong Vo

AUSLearn: AUtomated Sample Learning for Object Recognition. This project aims to enable computers to learn how to effectively use training samples for object recognition. Training sample is the only source used by computers to learn recognising objects. This project creates a new research direction that will enable the first full exploration of the power of samples. The aims will be enabled by leveraging the recent advances in reinforcement learning, fast training algorithms, and by developing novel deep learning algorithms. The new algorithms will benefit a wide range of applications, e.g. to effectively use car crash training samples for accurately identifying potential road crashes in transport and to effectively use rare medical imaging training data for robustly diagnosing diseases in health.. Scheme: ARC Future Fellowships. Field: 0801 - Artificial Intelligence and Image Processing. Lead: Prof Wanli Ouyang

Advances in data integration modelling for infectious disease response. This project aims to develop powerful mathematical frameworks that integrate data from multiple sources to facilitate informed decisions in response to the threat of present, and future, infectious diseases. The project expects to generate new knowledge in mathematics by advancing the tools for incorporating multiple data sources into models of infectious diseases. The expected outcomes include enhanced capacity to predict spatiotemporal changes in transmission of infectious diseases. This project should provide significant benefits in the advancement of modelling techniques broadly applicable to infectious disease settings, which will be demonstrated for antimalarial drug resistance – a major threat to malaria elimination. . Scheme: ARC Future Fellowships. Field: 0102 - Applied Mathematics. Lead: Prof Jennifer Flegg

Applying ecologically valid approaches to social cognitive ageing. Social functioning is a critical predictor of wellbeing, particularly in older age. This project aims to investigate how important social cognitive capacities, that lay the foundation for effective social functioning, are impacted by normal adult ageing. This project will use cutting edge experimental techniques to investigate, for the first time, how ageing alters our capacity to visually attend and understand emotional information in others during real time social interactions, both in and out of the laboratory. Expected outcomes include new knowledge of how older adults navigate social interactions, with potential to lay a foundation for improving social wellbeing in older Australians.. Scheme: Discovery Early Career Researcher Award. Field: 1701 - Psychology. Lead: Dr Sarah Grainger

Making Australia resilient to airborne infection transmission. The COVID-19 pandemic demonstrated that basic questions regarding how to minimise the risk of airborne infection transmission for any respiratory viruses remain unanswered, despite their frequency and huge social and economic costs. Therefore, this project aims to expand scientific knowledge and develop practical tools to improve the resilience of Australian indoor environments against airborne transmission of respiratory viruses. The outcomes of the project conducted by a multidisciplinary international team of collaborators will include: (i) quantitative knowledge on virus-laden aerosols from human expiration; and (ii) exposure and infection risk models and their application to typical indoor building and transport scenarios.. Scheme: Linkage Projects. Field: 1117 - Public Health and Health Services. Lead: Prof Lidia Morawska

Sustaining intensive agriculture through droughts and floods. This project aims to develop state-of-the-art conceptual and numerical models of river-soil-groundwater interactions to address complex and persistent questions on water sustainability in the Lower Burdekin Delta, Queensland, where groundwater pumping to irrigate sugarcane has been supplemented by artificial recharge for over 50 years. This project expects to deliver new knowledge of critical aquifer processes to inform the scheme operation, the largest in the country. Expected outcomes include ground-breaking management plans for the aquifer-replenishment scheme. Anticipated benefits involve balancing the needs of agriculture and the protection of pristine environments, including groundwater discharge to the Great Barrier Reef. . Scheme: Linkage Projects. Field: 0406 - Physical Geography and Environmental Geoscience. Lead: Prof Adrian Werner

Fabrication of silicon solar cells in a Lunar-like vacuum environment. In-situ power generation on the Moon is essential for the advancement of space exploration and habitation. At present this involves transportation of solar cells to the Moon. This proposal aims to pave the way for manufacture of solar cells on the Moon from Lunar materials. Utilising the future extraction and purification of silicon, abundant in lunar regolith, the project will focus on fabrication of silicon solar cells. This will provide power for: water mining, oxygen extraction, vehicles and habitats on the Moon and delivery of materials to Low Earth Orbit. The proposed research aims to develop solar cells that can be manufactured on the Moon, using materials abundant there, and techniques exploiting the natural vacuum of space.. Scheme: Linkage Projects. Field: 0906 - Electrical and Electronic Engineering. Lead: Prof Gavin Conibeer

Transfer Learning for Genome Analysis and Personalised Recommendation. This project aims to improve the accuracy, adaptability, and comprehensiveness of health characteristic predictions and provide personalised recommendations for healthcare service and disease prevention. The deliverables include uncertainty learning and multi-source transfer learning methodologies for predictions based on genome analysis that distils and transfers useful knowledge from multiple sources into an Australian genome analysis model. A federated cross-domain recommender system will be developed to profile individuals and generate personalised recommendations. The outcomes are expected to create a paradigm shift in learning-based prediction and personalised recommendations to support healthcare services in complex environments. . Scheme: Linkage Projects. Field: 0801 - Artificial Intelligence and Image Processing. Lead: Prof Jie Lu

Inequality, Prosperity and the Australian Welfare State. This project aims to clarify contested understandings of Australian inequality and the role of economic and social policies in addressing policy challenges going forward. The objective of the project is to generate significantly improved knowledge of inequality in Australia using innovative approaches of data splicing, decomposition, simulation and backcasting to fill research gaps and resolve contested interpretations. We aim to provide a benchmark and robust framework against which policy development after the current crisis can be evaluated. This project aims to provide significant benefits, keeping Australia at the forefront of research on inequality and public policy, strengthening links between researchers and policy makers. . Scheme: Discovery Projects. Field: 1605 - Policy and Administration. Lead: Prof Peter Whiteford

Combating Antimicrobial Resistance with Bismuth, Gallium and Indium. This research project focuses on the design, development, and application of new bismuth, gallium and indium compounds as antimicrobial agents. These metals act as iron mimics in vivo and can exert antimicrobial activity while displaying low systemic toxicity in humans. The project aims to exploit this, and the inability of microbes to easily develop resistance towards metals, to combat bacteria for which modern drugs are rapidly becoming ineffective, as highlighted in the WHO and US Centre for Disease Control list of critical and priority pathogens. The intended outcome is that efficacy will be driven through advances in synthetic and structural chemistry, discovering the mode of action, and creating anti-infective coatings and hydrogels.. Scheme: Discovery Projects. Field: 0302 - Inorganic Chemistry. Lead: Prof Philip Andrews

A systems materials engineering strategy for hybrid ion capacitors. This project aims to develop a data science-driven approach to allow the use of materials systems engineering strategy to quantify the cell-level design of electrochemical energy storage devices such as hybrid ion capacitors. The intended outcomes of this project include new dynamic equivalent circuit models and a new quantitative approach to make the electrodes pairing predictable and realise their optimal design against the needs of the specific applications. It will also demonstrate a combined strategy of data science and discipline-specific experiments and theories to advance the emerging field of materials systems engineering. . Scheme: Discovery Projects. Field: 0912 - Materials Engineering. Lead: Prof Dan Li

Developing novel two-dimensional hybrid nanostructures for renewable energy. This project aims to develop novel two-dimensional (2D) hybrid nanostructures with new physical and chemical properties. This innovation intends to address the critical challenges of control functionalisation of 2D hybrid nanostructures: essential to understanding the potential of nanomaterials in key applications of energy generation. Expected outcomes include scalable technology to produce functional 2D nanomaterials and hybrid nanostructures to accelerate research to advanced materials and frontier material manufacturing technologies. This project will provide significant social and economic benefits to Australia in the growth of sectors in advanced materials, energy generation, and advanced manufacturing.. Scheme: Discovery Projects. Field: 0912 - Materials Engineering. Lead: Prof Weiwei Lei

Correlative Imaging of Brain Lipids. This project aims to develop imaging tools and protocols for the detection of lipids in brain tissue and cells. This project expects to generate advanced methodologies to display specific lipid classes and their corresponding structures within tissues and cells, with the ability to be detected and correlated with multiple techniques, which represent a currently unavailable capacity. The expected outcomes of this project are improved opportunities to study lipid biology at the cellular and sub-cellular level across a wide range of in vitro and in vivo models. The outcomes of this project should provide significant knowledge to tackle modern societal challenges in healthy ageing, brain pathologies and neurodegenerative diseases.. Scheme: Discovery Projects. Field: 0399 - Other Chemical Sciences. Lead: A/Prof Mark Hackett

Micro-electrofluidic platforms for monitoring 3D human biological models. The ability to study living cells and human biological models (cell cultures) delivers greater understanding of basic biological function and response to applied (bio)chemical stimuli. Creating the physical environments to sustain biological models, and mimic natural conditions and fluidic pathways, is immensely challenging, yet essential to deliver meaningful observational data. This project will deliver this capability through the convergence of expertise and innovation in analytical chemistry, materials science and cellular biology, ultilising the latest technology and understanding of 3D micro/electrofluidics, to enable the study and stimulation of advanced biological models, sustained within precisely controlled 3D micro-environments.. Scheme: Discovery Projects. Field: 0903 - Biomedical Engineering. Lead: Prof Brett Paull

Is there a climatic tipping point for Antarctic Bottom Water formation? Antarctic Bottom Water plays an important role in global ocean circulation and climate and yet its formation is also highly sensitive to climate change. This project will analyse new seafloor, core and water samples from the understudied Cape Darnley, East Antarctica, collected on a voyage in early 2022. This new data will be used in combination with an improved high resolution regional ocean model, to understand modern and past Antarctic Bottom Water formation under different climate states (warmer and colder than present), to determine if there are climate tipping points for the shut down of Antarctic Bottom Water formation. The anticipated benefits include a better understanding of future climate change on this important water mass.. Scheme: Discovery Projects. Field: 0405 - Oceanography. Lead: Prof Helen Bostock

Elucidating the molecular basis of plant potyvirus resistance . Plant viruses are responsible for a large proportion of crop losses, and genetic resistance is currently the most effective means to control viral spread. This project investigates, on a molecular and structural level, host factors that plant viruses hijack during infection, and in particular, the mutations in these factors that confer resistance. We further aim to elucidate the mechanisms by which plant viruses overcome resistance mediated by these host factors. A detailed understanding of the molecular interactions between plant viruses and their host will enable new, robust and more effective forms of resistance to be engineered. This work therefore has economic and environmental implications for agricultural productivity in Australia. . Scheme: Discovery Projects. Field: 0601 - Biochemistry and Cell Biology. Lead: Dr Mary Christie

Turning crises into opportunities: Learning from high growth businesses. Being able to adapt and respond to crises such as the COVID-19 pandemic or bushfires is important for Australia's economic development. This project investigates how crises can be turned into opportunities. It analyses the strategic crises responses of business ventures that managed to defy the odds and to achieve high growth because of crises. The outcomes include an improved understanding of the opportunities crises present; and actionable, empirically grounded insights into successful crises responses. As such, the project will make significant contributions to core areas of entrepreneurship and management research. It will also help policymakers and entrepreneurs to improve economic resilience and to foster sustainable economic growth.. Scheme: Discovery Projects. Field: 1503 - Business and Management. Lead: A/Prof Frederik von Briel

Being a Transnational Muslim in Australia in an Era of Hyper-Security. Muslims have been the focus of significant policy articulations around security and integration in a hypersecuritised environment. This project aims to investigate how Australian Muslims are negotiating increased surveillance and public hostility and how this impacts on their sense of belonging. Working with members of four disparate Muslim communities in Brisbane, Melbourne, Perth and Sydney, the project will examine the varied manifestations of national and transnational belonging for conceptions of identity and social inclusion. In addition to generating new knowledge in the sociology of religion and migration studies, this project will also yield novel data for better policy and practice both locally and internationally.. Scheme: Discovery Projects. Field: 1608 - Sociology. Lead: Prof Adam Possamai

Smart site investigation for offshore energy installations in sand . This project aims to develop a next generation tool for seabed site investigations. It will use free-fall penetrometers, advanced physical modelling and novel probabilistic methods to investigate fundamental science of sand responses at low stress level and generate new interpretation methods. Outcomes of this project include a scientific framework to predict soil design parameters at unsampled seabed locations. A game changer in offshore site investigations, the project will provide cheaper and faster geotechnical site investigation in sand at a time of global increase in offshore energy installations (worth 4 trillion over the next decade).. Scheme: Discovery Projects. Field: 0905 - Civil Engineering. Lead: A/Prof Shiao Huey Chow

The critical role of rhizosheath biophysics in plant water availability. This project aims to determine how plants can increase their water availability by altering the small volume of soil, rhizosheath that adheres to roots. This project expects to integrate root exudates metabolomics, biophysics and microbial ecology to determine for the first time which of a suite of interconnected factors increase water availability in the root zone. Expected outcomes include better understanding of the direct and indirect roles of soil pore geometry, root exudates and microbial communities play in shaping plant’s ability to take up water from soil. This knowledge may ultimately pave the way for engineering the rhizosheath of crops to cope with increased drought conditions. . Scheme: Discovery Projects. Field: 0503 - Soil Sciences. Lead: Prof Charles Warren

Uncovering the transgenerational dimension of ageing. Despite over a century of research on the biology of ageing, one intriguing aspect of ageing – the widely observed tendency for older parents to produce offspring with reduced lifespan and fitness – remains poorly understood. Such effects could be a major source of variation in individual fitness, could play a role in the evolution of ageing, and could impact human health. Building on recent discoveries by CI Bonduriansky’s research group and others, this project’s aims will address significant questions about the mechanisms mediating these effects, the roles of mothers vs. fathers, and the role of the ambient environment. This project will also contribute new theory on the evolutionary implications of such effects. . Scheme: Discovery Projects. Field: 0603 - Evolutionary Biology. Lead: Prof Russell Bonduriansky