Eligibility Criteria

- Students undertaking a 4-year UG program should be completing the 3rd year of their degree by mid-2025.
- Students undertaking a 5-year integrated UG+PG program should be completing the 3rd or 4th year of their degree by mid-2025.
- Students undertaking a 2-year PG / Master degree program should be completing the 1st year of their degree by mid-2025.
- FRT Info (FRT Info)


LOR form must be in the given format : (Referee letter)

LOR form must be in the given format : (Referee letter)

Undertaking must be in the given format : (Undertaking)

We study the statistics of turbulent, magnetised gases, relevant to the structure and evolution of the interstellar medium, and the formation and evolution of stars and galaxies. We use a combination of supercomputer simulations, theory, analytical calculations, and comparison to observations.Some experience and interest in programming (e.g., with python) is welcome, but not a strict requirement.This research project can be extended, and supported with additional funding, beyond the standard duration (12 weeks) of the FRT program. This possibility and duration of extension will be considered on a case-by-case basis and discussed with the shortlisted candidate during the selection process. 

                                      

                                            Supervised by Professor Christoph Federrath                                                              
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                    At ANU, in collaboration with international partners, we are developing a small satellite mission concept called UVESS (Ultraviolet Extinction Sky Survey). The mission aims to explore the composition of the interstellar medium (ISM) by mapping the variation in UV extinction curve slopes and the 2175 A feature across much of the sky, providing insights into the makeup and characteristics of the ISM. The aim of the project is to advance the mission concept and instrument design and analysis. The project broadly covers UV sky simulation, development of the instrument concept, electro-optical modelling, and system design. The scope is flexible and can be tailored to focus on areas of interest for students.
                                    

                                    Background in scientific programming(eg: python) and data analysis is required.                                 
                                      

                                      

                                            Supervised by Dr Joice Mattew, Dr Andrew Battisti, Dr Israel Vaughan                                       
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                    Explore the imprint of suppressed dipole modes in the spectra of red giant stars.                                          
                                      

                                      

                                            Supervised by Dr Jie Yu and Prof Luca Casagrande                                     
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      Using numerical simulations and radio observations to determine the strength, scale, and structure of magnetic fields in the Milky Way and nearby galaxies.                                            
                                      

                                      

                                            Supervised by Dr Amit Seta                                        
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      Cosmic rays (CRs) play a critical role in galaxy evolution, yet key questions about their physics remain unanswered. This project will use the suite of state-of-the-art hydrodynamic simulations called “QED” to explore how supernova-driven outflows can constrain CR properties. Through this project, you will gain hands-on experience with processing high-resolution simulation data and develop insights on CR properties in galactic environments.                                           
                                      

                                      

                                            Supervised by Dr Aditi Vijayan, A/Prof Roland Crocker, Prof Mark Krumholz                                       
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      The rapid expansion of astronomical literature makes it increasingly difficult for researchers to synthesize relevant insights and keep pace with the latest findings. This project seeks to address this challenge by leveraging large language models (LLMs) to enable more effective semantic searches tailored to the needs of a specific research group with deep domain expertise.                         
                                      

                                      

                                            Supervised by Dr Yuxiang Qin                                                              
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      Study of low-mass stars using deep Hubble Space Telescope and James Webb Space Telescope infrared observations of Galactic Globular clusters and Ultra-faint dwarf galaxies.                                
                                      

                                      

                                            Supervised by Dr Giacomo Cordoni                                       
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      Extend the phylogenomics software pipesnake to enable greater user flexibility, data reporting, and more efficient processing. Goals are flexible and can be adapted to suit the interests of the scholar.                                            
                                      

                                      

                                            Supervised by Dr Ian Brennan, Dr Sarin Tiatragul, Professor Scott Keogh                                       
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      A bioinformatics project where the scholar will learn to assemble and annotate reference genomes for several Australian reptiles. Long read data will need to be assembled, polished and prepared before being annotated using the NCBI pipeline.                                             
                                      

                                      

                                            Supervised by Dr Mitzy Pepper                                       
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      Plant pathogenic fungi are responsible for billions of dollars of losses in agriculture and are a serious threat to global food security. To facilitate disease, these pathogenic fungi secrete proteins during infection that manipulate plants to cause disease. This project will exploit an emerging technique of exploiting the response of wheat protoplasts to a library of fungal pathogen proteins to identify new mechanisms of disease.                                           
                                      

                                      

                                            Supervised by Dr Erin Hill and Professor Peter Solomon                                     
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      Genetic and molecular characterisation of RNA binding proteins involved in fertility restoration in plants.                                           
                                      

                                      

                                            Supervised by Dr Joanna Melonek                                        
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      At our Training Centre for Future Crops Development, we use CRISPR/Cas gene editing to modify genes of interest. However, plant regeneration remains a challenge due to genotype and species dependencies. In this project we aim to study how developmental regulators can enhance regeneration across various commercial crop varieties. Experience in cloning plant tissue culture is preferred                                       
                                      

                                      

                                            Supervised by Dr Henry Susila and Professor Barry Pogson                                        
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      Rarely are you able to see an ecosystem-changing event about to happen and be in the right place to study it. This is happening in Australia, where the arrival of parasitic mites is going to wipe out most honeybees in the coming years, with wide-ranging agricultural and environmental effects. We have a wide range of projects studying how these parasites will drive ecological and evolutionary change.                                        
                                      

                                      

                                            Supervised by Professor Sasha Mikheyev                                      
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      Plants have remarkable capacity to tolerate and respond to the warmer temperatures, changing precipitation and fire regimes, and increased occurrence and intensity of heatwaves associated with climate change via physiological tolerance, phenotypic plasticity, and evolutionary adaptation. We seek to understand how shifts in climatic conditions push plants toward tipping points and beyond their physiological limits, and the implications of this for ecological function and persistence.                                           
                                      

                                      

                                            Supervised by Professor Adrienne Nicotra                                     
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                    Constrained peptides fill an important area of chemical space between small molecule therapies and larger antibodies. Constraining a peptide by macrocyclization or stapling can enhance metabolic stability, promote biological uptake across cell membranes, and increase binding affinity. The Nitsche group at the ANU Research School of Chemistry has a strong interest in developing new biocompatible methods to constrain peptides and generate next-generation therapeutics.

                                    For the suitable candidate, the duration of this project can be extended to a total period of up to 14 weeks, supported by additional funding for extended living costs beyond the standard duration of the FRT program.                                       
                                      

                                      

                                            Supervised by Associate Professor Christoph  Nitsche                                       
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      Single atoms on nanoparticles that are designed for electrocatalysis in water splitting electrolysers.                                            
                                      

                                      

                                            Supervised by Dr Lucy Gloag                                       
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      Hierarchical metal nanostructures with precise control for electrodes in fuel cells.                                      
                                      

                                      

                                           Supervised by Dr Lucy Gloag                                        
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      In the context of complex systems of humans, technology and environments, the research will focus on the empirical foundations for activating pathways towards transformative systemic intervention, drawing on concepts in cybernetics and beyond. The project will draw on the student’s own background, as well as multiple disciplines and spiritual/cultural traditions. The objective will be to explore the relationship between individual- and systemic-level transformation through research and practice, for application to grand global challenges such as climate change, population demographics and artificial intelligence.                                     
                                      

                                      

                                            Supervised by Ms Maia Gould; Ms Ellen O'Brien; Mr Bradley Chenoweth                                        
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      Synthesis of single crystals out of critical metals to be use as reference materials for analytical laboratories in geochemistry research.                                            
                                      

                                      

                                            Supervised by Dr Michael Anenburg                                        
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      The Climate and Fluid Physics group carries out research on fluid flow problems relevant to Earth, using numerical modelling, theory, and laboratory experiments in the Climate & Fluid Physics Laboratory. We are interested in problems ranging from large-scale ocean circulation to ice melting, from convection to waves and turbulence and from lava flows to climate dynamics                                         
                                      

                                      

                                            Supervised by Dr Callum Shakespeare, Dr Adele Morrison, Dr Nicola Maher, Dr Kial Stewart                                        
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      Investigating the Earth's crust and/or mantle using seismological methods, with the aim of understanding regional tectonics and mantle dynamics.                                           
                                      

                                      

                                            Supervised by Dr Miriam Gauntlett and Dr Caroline Eakin                                        
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      Construction of interactive software based geophysical inversion tutorial examples. Would require someone with interest and proficiency in Python as it is largely computational oriented project.

                                      The possibility to extend the duration of the project will be considered on a case-by-case basis.                                        
                                      

                                      

                                            Supervised by Prof Malcolm Sambridge and Dr Michaal Korn, Dr Fabrizio Magrini                                        
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      We develop advanced computational tools for the modelling and analysis of Earth systems including plate tectonics, fault rupture, sub-surface flow and geomorphological evolution. The project can be flexible and may include developing computational methods or applications to any geodynamic or geological problem of interest.                                             
                                      

                                      

                                            Supervised by Professor Louis Moresi and Juan Carlos Graciosa                                        
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      With the recent development of a detailed and validated building exposure model for Java, Indonesia, we can now model the potential of earthquakes there to cause destruction and fatalities, as well as test the effectiveness of mitigation options such as improved construction.
                                      

                                      

                                            Supervised by Professor Phil Cummins                                        
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      This project aims to explore the availability and accessibility of lactation education and support program globally, and whether they are covered by national insurance programs. The project will conduct a systematic review and examine any available data sources addressing these issues.                                            
                                      

                                      

                                            Supervised by Dr Andini Pramono and Dr Matthew Kelly                                       
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      This project aims to assess Indonesia's progress of implementation of Global Strategy for Infant and Young Child Feeding using WBTi indicators of policy and programs.                                             
                                      

                                      

                                            Supervised by Dr Andini Pramono                                        
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      Identify the impacts of exposure to childhood shocks (e.g., environment, economics, political, public health programs) on older age's health outcomes and health care utilisations in Indonesia through literature review and empirical data analysis; Assess these impacts empirically using the Indonesia Families Life Survey.                                           
                                      

                                      

                                            Supervised by Dr My Tran and Dr Jinhu Li                                        
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      Identify the impacts of exposure to childhood shocks (e.g., environment, economics, political, public health programs) on older age's health outcomes and health care utilisations in India through literature review and empirical data analysis. Assess these impacts empirically using the Longitudinal Aging Study in India.                                            
                                      

                                      

                                            Supervised by Dr My Tran and Dr Jinhu Li                                         
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      Use the IFLS to determine whether age of NCD onset & risk factors is decreasing; examine drivers of multimorbidity; examine health workforce issues related to earlier disease onset; and  link to air pollution data and undertake geographic analyses of contribution of ambient air pollution to NCDs over the 5 waves of IFLS.                                           
                                      

                                      

                                            Supervised by Assoc. Prof Tomoko Sugiura, Dr Paul Kowal and Mr Daniel Miller                                        
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      A review of models, frameworks and success factors for scaling up public health interventions in Australia                                           
                                      

                                      

                                            Supervised by Dr Uday N Yadav                                        
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      A systematic review of scale-up approaches for chronic disease prevention and management using community and primary health care approaches in Low and Middle income countries                                       
                                      

                                      

                                            Supervised by Dr Uday N Yadav                                        
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                    Mapping of social initiatives for addressing social and cultural determinants among disadvantage populations in low and middle income countries.                                      
                                      

                                      

                                            Supervised by Dr Uday N Yadav                                        
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      This project will assess the impact of the 2014 National Health Insurance (BPJS Kesehatan) rollout on healthcare providers’ behaviours, such as the market entry of hospitals and primary health centres, and on population health outcomes. The project will utilize datasets from the Ministry of Health (KEMENKES), such as Riset Fasilitas Kesehatan (Healthcare Facilities Survey), Riset Kesehatan Dasar (Basic Health Survey), and other data sources (e.g.  Indonesian Family Life Survey) to evaluate outcomes of hospitals and primary health centres and population health outcomes. Additionally, the project aims to create novel datasets through web scraping.

                                      Familiarity with managing large datasets and programming languages (R, STATA, or Python) is desirable. This project is suited for senior undergraduate students interested in quantitative public health or applied econometrics methods.                               
                                      

                                      

                                            Supervised by Dr Giovanni van Empel and Dr Jinhu Li                                        
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

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

                                      

                                            Supervised by Associate Professor Pierre Portal                                        
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      Topics in algebraic geometry or related areas (curves, surfaces, algebraic groups, birational geometry, enumerative geometry, moduli spaces, connections with homological algebra, representation theory, or number theory).                              
                                      

                                      

                                            Supervised by Anand Deopurkar                                       
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      Topics related to operator algebras (C* algebras and von Neumann algebras), subfactors, planar algebras, vertex operator algebras, and two-dimensional conformal field theory                              
                                      

                                      

                                            Supervised by Dr James Tener                                       
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      Topics related to representations of quivers and quiver varieties, representations of Lie algebras, or similar, and associated homological algebra and combinatorics. Depending on interest, the project may involve calculations or programming with computer algebra systems.                                          
                                      

                                      

                                            Supervised by Dr Asilata Bapat                                        
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      Topics related to partial differential equations and variational problems in geometry, including minimal surfaces, harmonic maps, mean curvature flow and Ricci flow.                                            
                                      

                                      

                                            Supervised by Professor Ben Andrews                                        
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      Possible topics: flag varieties, cluster algebras, total positivity, affine Grassmannian, tropical geometry, Schubert calculus, Riemann surfaces                                           
                                      

                                      

                                            Supervised by Dr Ian Le                                        
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      Witten conjecture on Donaldson =Seiberg-Witten; Quantum geometry of D-branes in supersymmetric string theory and quantum gravity.                                          
                                      

                                      

                                            Supervised by Associate Professor Bryan Wang                                        
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      Topics related to symplectic geometry, J-holomorphic curves, tropical geometry, kahler, calabi-yau, or G2 manifolds.                                            
                                      

                                      

                                            Supervised by Dr Brett Parker                                        
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      Topics related to 3-manifolds, Morse theory, and mapping class groups                      
                                      

                                      

                                            Supervised by Associate Professor Joan Licata                                        
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      Topic related to representations of arithmetic groups, p-adic groups, asymptotic group theory and associated zeta functions
                                      

                                      

                                            Supervised by Professor Uri Onn                                        
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      This project will consist in discovering and developing new gene editing tools (CRISPR and others) for biotechnology applications (molecular detection and gene therapy) combining a computational and/or a laboratory approach.

                                      The FRT scholar will engineer CRISPR proteins and test for a specific application.
                                    
                                      While mostly laboratory based, the project could involve a large part of computational biology using AI                                             
                                      

                                      

                                            Supervised by Dr Gaetan Burgio                                       
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      TRPA1 and TRPV1 are two members of transient receptor potential (TRP) channels that play roles in sensory detection and processing. We have identified that these two channels are colocalised in cortical neurons and functionally interact with each other. This project will aim to further investigate the structural interactions using immunoprecipitation.                                           
                                      

                                      

                                            Supervised by Dr Ehsan Kheradpezhouh                                        
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      Transient receptor potential (TRP) channels are well-preserved across species and along evolution which play roles in sensory detection and processing. Our knowledge about their expression in the mammalian cortex is not complete. Here, using Fluorescence-activated cell sorting (FACS), genomic sequencing and qPCR, we will identify the expression of TRP channels in various cortical cell types in mice.
                                      

                                      

                                            Supervised by Dr Ehsan Kheradpezhouh and Dr Karthik Krishnan                                        
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      Dysregulation of translation is one of the hallmarks of cancer, but due to the difficulty its assessing has remained in the backyard of the malignant phenotype understanding. We have pioneered best-in-class methods to interrogate translation in vivo and use these to find new vulnerabilities of cancer cells.                                          
                                      

                                      

                                            Supervised by Dr Nikolay Shirokikh                                        
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      Cancer cells hijack normal stress response mechanisms to wear off chemotherapeutic treatments. Because RNA and translational responses are among the fastest and most universal cell stress reactions, we target these mechanisms to find new ways of suppressing cancer drug resistance.	                                            
                                      

                                      

                                            Supervised by Dr Nikolay Shirokikh                                         
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      Cancer cells hijack normal stress response mechanisms to wear off chemotherapeutic treatments. Because RNA and translational responses are among the fastest and most universal cell stress reactions, we target these mechanisms to find new ways of suppressing cancer drug resistance.                                          
                                      

                                      

                                            Supervised by Dr Nikolay Shirokikh                                        
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      Cell stress can contribute to the development of pathophysiological conditions or augment existing disease. To better understand cell stress and find specific molecular pathways of alleviating its negative effects, we accurately interrogate cell responses at the RNA level with a set of innovative methods.                                    
                                      

                                      

                                            Supervised by Dr Nikolay Shirokikh                                        
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      Species-specific longevity and the mechanisms of cell and organismal ageing remain one of the largest evolutionary, biological and medical enigmas. We look at the rapidly-evolving RNA elements of gene expression control to link longevity with cell ageing and evolutionary preferences for the lifespan.                                          
                                      

                                      

                                            Supervised by Dr Nikolay Shirokikh                                         
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      Broad RNA discovery methods have highlighted the multiple functional roles of newly-emphasised RNA biotypes, such as circular and non-coding RNA. Using best-in-class technologies, we investigate structure and function of these unusual RNA biotypes across medically-relevant conditions, such as in cancer and immune cells, to find new molecular intervention targets.                                      
                                      

                                      

                                            Supervised by Dr Nikolay Shirokikh                                        
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      Climate and seasonal patterns, often artificially altered by human-associated activity, invoke non-genetic adaptive responses in multiple ecosystem species. Using innovative high-throughput methods and extensive computational and machine learning techniques, we investigate the environmentally-adaptive transcriptome and epitranscriptome across all accessible ecosystem species, to identify routes of resilience and adaptability, as well as novel RNA biomolecular tools.                                           
                                      

                                      

                                            Supervised by Dr Nikolay Shirokikh                                        
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      We develop best-performing, artificial intelligence-based technologies for high-throughput in vivo interrogation of RNA stricture.                                          
                                      

                                      

                                            Supervised by Dr Nikolay Shirokikh                                        
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      We develop best-performing, artificial intelligence-based technologies for high-throughput in vivo interrogation of mRNA translational performance.                                             
                                      

                                      

                                            Supervised by Dr Nikolay Shirokikh                                        
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      We use our technologies to measure structure and function of RNA and combine these data with predictive and generative AI to improve design of therapeutic RNA in specific clinical appreciations.                                          
                                      

                                      

                                            Supervised by Dr Nikolay Shirokikh                                        
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      Electrowriting is a highly precise additive manufacturing technique to construct three dimensional (3D) structures for various biomedical applications including tissue engineering. This technique works on combined principles of two biofabrications techniques namely 3D printing and electrospinning. The objective of this project is to develop the 3D scaffolds of silk fibroin (SF) using electrowriting and investigate the cellular activities.                                  
                                      

                                      

                                            Supervised by Prof Adam Perriman and Dr Kapil Patel                                       
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      Three dimensional (3D) bioprinting of silk fibroin methacrylate (SilkMA) and gelatine methacrylate (GelMA) hydrogels is an advanced technique in tissue engineering that combines the properties of silk fibroin and gelatin-based hydrogels with the precision of 3D bioprinting. This method is used to create complex, biologically active structures that can mimic the extracellular matrix of tissues, promoting cell growth, differentiation, and tissue regeneration. The objective of this project is to develop the mechanically tuneable SilkMA/GelMA hydrogel and investigate the various physiological parameters such as swelling ratio, biodegradation, mechanical (compressive/tensile) properties. Finally, investigate the cell viability and proliferation with murine myoblast cell line (C2C12). We hope and believe that this project will help to SilkMA/GelMA hybrid 3D bioprintable hydrogels and provide the platform for regenerative medicine and tissue engineering applications.                                         
                                      

                                      

                                            Supervised by Prof Adam Perriman and Dr Kapil Patel                                       
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      This project involves 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 - ultimately aiming to treat patients with these insights                                          
                                      

                                      

                                            Supervised by Associate Professor Simon Jiang                                         
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      Menopause induced hormonal changes in women is linked with poor bone health and its consequences such as osteoporosis. Consequently, women with poor bone health are at greater risk of fall induced injuries. Despite many Indian and culturally-linguistically diverse (CALD) women living in Australia, adequate health information for maintaining good bone health pre and post menopause is limited as are culturally sensitive fall prevention screening tools. The research seeks to improve good bone health literacy and develop a culturally sensitive fall prevention screening tool by first reviewing existing resources and their applicability to immigrant Indian women. Later health resources based on review findings will be made and piloted in a community setting                                      
                                      

                                      

                                            Supervised by Dr Danish Ahmad, Professor Kieran Fallon and Associate Professor Rafat Hussain                                        
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      Research from medical education pedagogy is evolving to support students better and design improved ways of teaching medical (MBBS/MD) programs. This study aims to help academics transition from a problem-based curriculum to a team-based learning (TBL) approach in medical schools. By focusing on the implementation and outcomes in both Australian and global contexts, the research will identify best practices and necessary adaptations for effective TBL. The study will involve developing comprehensive frameworks and tools to guide curriculum analysis, faculty training, and student feedback that enhances collaborative learning, critical thinking, and clinical skills. The findings will benefit medical schools in Australia and India by providing a scalable model for modernising medical education.                                           
                                      

                                      

                                            Supervised by Associate Professor Alexandra Webb, Associate Professor Krisztina Valter and Dr Danish Ahmad                                        
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      Generative AI (gen AI) potential use as a teaching tool in medical schools is rapidly evolving. This short study explores the potential of gen AI in enhancing student engagement during team-based learning (TBL) sessions in medical education. The study will investigate how AI-driven tools can be developed and integrated into TBL to provide personalised feedback, generate interactive learning materials, and facilitate real-time student collaboration. The research will also assess their impact on student participation, motivation, and academic performance by implementing and evaluating AI applications in TBL settings. Study findings will offer novel insights into gen AI's effectiveness in creating a more engaging learning environment and support adopting innovative teaching methods in medical schools in Australia and India.                                             
                                      

                                      

                                            Supervised by Associate Professor Alexandra Webb, Associate Professor Krisztina Valter and Dr Danish Ahmad                                        
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      Investigating the role of early intervention and lifestyle management in the treatment of Heart Failure, specifically looking at effects on quality-of-life, hospitalisation, medication compliance and long term outcomes                                       
                                      

                                      

                                            Supervised by Associate Professor Rajeev Pathak                                        
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      Experiments using the heavy ion accelerator towards the measurement of the magnetic dipole moments of excited nuclear quantum states.                                           
                                      

                                      

                                            Supervised by Prof Andrew Stuchbery, Prof Greg Lane and Dr AJ Mitchell                                        
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      Two experimental projects are available to support our research. The SABRE South project will perform analysis of underground measurement data taken during the commissioning of the experiment, and the CYGNUS-Oz project will involve experimental measurements and analysis of 3D particle tracks with our directional detection prototype.                                           
                                      

                                      

                                            Supervised by Dr Lindsey Bignell, Dr Zuzana Slavkovska and Prof Greg Lane                                        
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      This project focuses on optimizing nanopore systems to detect and analyse individual proteins and biomarkers linked to diseases such as Alzheimer's, Parkinson's, and cancer. By enabling single-molecule precision, this sensing platform has transformative potential in diagnostics and healthcare applications.                                         
                                      

                                      

                                            Supervised by Prof Patrick Kluth and Dr Shankar Dutt                                        
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      This project develops a nanopore platform for real-time detection and identification of virus like particles, providing a rapid, sensitive, and scalable approach to viral diagnostics. This technology has significant applications in healthcare, epidemic surveillance, and biosecurity                                            
                                      

                                      

                                            Supervised by Prof Patrick Kluth and Dr Shankar Dutt                                       
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      Perform measurements of correlations in intensity, phase, or quadrature of the light emitted by exciton-polariton condensates                                          
                                      

                                      

                                            Supervised by Dr Eliezer Estrecho and Prof Elena Ostrovskaya                                        
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      This project will construct a 3D optical lattice apparatus for ultracold metastable Helium atoms, which will form an experimental quantum-simulator to investigate quantum many-body physics. A range of experiments will be performed such as studying higher order quantum correlations across the superfluid to Mott insulator phase transition.                                           
                                      

                                      

                                            Supervised by Dr Sean Hodgman and Professor Andrew Truscott                                        
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      This experimental project aims to create entangled states of ultracold helium atoms where the entanglement is between atoms of different mass. By manipulating the entangled pairs using laser induced Bragg transitions and measuring the resulting correlations, we will study how gravity affects mass-entangled particles.                                       
                                      

                                      

                                            Supervised by Dr Sean Hodgman and Professor Andrew Truscott                                       
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      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.                                    
                                      

                                      

                                            Supervised by Dr Sean Hodgman and Professor Josh Machacek                                     
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      This project explores carbon's behaviour under extreme pressure. Using diamond anvil cells, we subject carbon precursors to intense pressures, synthesizing novel allotropes. In-situ Raman spectroscopy and electron microscopy analyse structural changes. We aim to create superhard carbons exceeding diamond's hardness and deepen our understanding of phase transformations under pressure, temperature, and shear.                                     
                                      

                                      

                                            Supervised by Professor Jodie Bradby                                        
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      Our research focuses on incorporating nanostructures into the next generation optoelectronic and photonic devices such as lasers, LEDs, photodetectors, sensors and solar cells. Applications for these devices are for holographic displays, LiDAR systems, Li-Fi, augmented reality, quantum communications, remote sensing and wearable sensors.                                          
                                      

                                      

                                            Supervised by Prof Hoe Tan, Prof Lan Fu and Prof Chennupati Jagadish                                        
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      The shape of a nucleus can tell us a lot about its fundamental properties. Some exhibit 'shape coexistence', when a single nucleus has one shape in its ground state and different shapes in excited states. This project will use data from two-nucleon transfer reactions to search for new instances of shape coexistence, and guide future research at HIAF.                                           
                                      

                                      

                                            Supervised by Dr AJ Mitchell, Prof GJ Lane and Prof AE Stuchbery                                        
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      Development of a software-controlled optical frequency comb architecture for sensing of molecular absorption and dispersion signatures
                                      

                                      

                                            Supervised by Dr Chathura Bandutunga                                         
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      The torsion pendulum dual oscillator sensor is mounted on a multi-stage isolation suspension for reducing the impacts of the local environment. This project will develop an optimal blending controls strategy, then digital feedback to the suspension actuators. This project will give experience in advanced feedback controls, applicable in many areas of STEM. Applicants with some experience in MATLAB/ Linux recommended.                                           
                                      

                                      

                                            Supervised by Assoc Prof Bram Slagmolen and Dr Sheon Chua                                             
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      This project is to develop an interferometric sensor to readout a flexure-based inertia sensor. We will use a Michelson interferometer and analyses its characteristic to create a low noise, large dynamic range readout, using a beatnote between TEM00 and TEM01 optical modes.                                              
                                      

                                      

                                            Supervised by Assoc Prof Bram Slagmolen and Dr Sheon Chua                                        
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      Development of interferometers for optimizing the parameters of squeezed light sources, aimed at enhancing the performance of future gravitational wave detectors.                                      
                                      

                                      

                                            Supervised by Dr Terry McRae and Dr Jiayi Qin                                        
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      The goal of this project is to explore thermal isolation options for fibre optical laser stabilization systems. Such systems may be the future of laser stabilization for Inter-satellite laser interferometers missions used to measure Earth's water move (like the GRACE missions) and Gravitational Waves from supermassive blackholes (like the LISA mission).                                           
                                      

                                      

                                            Supervised by Prof Kirk McKenzie, Dr Ya Zhang and Dr Andrew Wade                                        
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      Machine Audition is to give machines the ability to listen and talk. This project will extend our recent research on Point Neuron Learning to Time domain. This will essentially develop physics informed new neural network architecture for spatial audio and acoustic applications.                                          
                                      

                                      

                                            Supervised by Professor Thushara Abhayapala                                        
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      Support the technical and social implementation of citizen science flood intelligence networks to capture real-time data on pending flood events to rural and remote catchments.  This can include the development of low-cost LoRa-based sensor networks, collation and presentation of information, and manual and governance of these networks to ensure data quality and consistency.                                           
                                      

                                      

                                            Supervised by Assoc Prof Jeremy Smith                                       
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      Bifunctional catalysts attained significant research and industrial interest in recent years owing to their ability to drive hydrogen and oxygen evolution reaction (HER & OER) simultaneously thereby simplifying electrolyser systems. This project involves the synthesis and characterization of NiFeMo using electro-deposition methods.  Also, it consists of an investigation of the HER and OER performance of NiFeMo catalysts using electrochemical techniques.

                                      This project can be extended with financial support for an additional 12 weeks.                                             
                                      

                                      

                                            Supervised by Professor Siva Karuturi, Dr Parvathala Reddy Narangari                                       
                                   

                                

                             

                             

                                

                                   
                                                                       
                                

                                

                                   

                                      NiMo is a well-known highly efficient, low-cost, and non-noble metal hydrogen evolution reaction (HER) electro-catalyst for electrochemical hydrogen production. The incorporation of C into NiMo drastically enhances the catalyst conductivity and minimizes resistive losses when scaled-up electrode fabrication.   This project focuses on the fabrication of NiMoC electrodes using either electrodeposition or surface corrosion and investigates their electrochemical performance.

                                      This project can be extended with financial support for an additional 12 weeks.                                           
                                      

                                      

                                            Supervised by Professor Siva Karuturi, Dr Parvathala Reddy Narangari                                        
                                   

                                

                             


                        

                        

                            

                                 
                                
                            

                        

                        

                            

                                 
                                
                            

                        

                        

                            

                                 
                                
                            

                        

                        

                    


                    
                    

                        
                        
                    


                    
                    
                    

                    

                

            



    





    

    
    

    
    

    
    
    
    

        
            
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