Taste of Research Summer Scholarships
2027 Projects - School of Chemical Engineering
Chemical Engineering Research Areas
Related Projects
Chemical Engineering Projects
No School Research Area
| Project Title: | Advanced Production of Renewable Ammonia Using Scaled-up Electrolyser |
| Name of Supervisor: | Dr Zhipeng Ma |
| Email of Supervisor: | zhipeng.ma@unsw.edu.au |
| Name of Joint/Co-Supervisor: | Dr Ming Zhang, Scientia Professor Rose Amal |
| Email of Joint/Co-Supervisor: | . |
| School: | School of Chemical Engineering |
| Faculty Research Area (Theme): | MEMS, Micro & Nano Technologies |
| Applicable to other Engineering schools/disciplines: |
|
| Terms: |
Summer |
| Abstract: | Renewable fuels have the potential to revolutionise how we produce and store clean energy. Ammonia is one such promising energy carrier. In this project, we will develop a renewable ammonia production process using a scaled-up electrolyser system. We will generate green ammonia using waste nitrite as a resource, focusing on system design, efficiency optimisation, and scalability. The eventual goal is to demonstrate a pilot-scale pathway that could contribute to carbon-free fuel production and agricultural fertiliser supply. You will learn how to operate and characterise 250 cm2 electrolyser systems, analyse energy consumption, and evaluate process performance under realistic operating conditions. You will also gain experience in renewable energy system, with applications extending to energy storage, shipping fuels, and sustainable agriculture. |
| Research Environment: | Particles and Catalysis Research Lab, Tyree Building |
| Novelty and Contribution: | . |
| Expected Outcomes: | 1) Gain a fundamental understanding of renewable ammonia production as a sustainable energy carrier and fertiliser pathway. 2) Gain experience in experimental troubleshooting, safety protocols, and system optimisation strategies. 3) Enhance ability to interpret scientific data and communicate findings through presentations and written reports. |
| Reference Material Links: | https://www.ozammonia.com/ |
| Will the student visit the premises of an industry partner, or undertake any activity on premises external to UNSW? | No |
| Project Title: | Combination Therapy with Antimicrobial Peptides to Combat Multidrug-Resistant Bacteria |
| Name of Supervisor: | Edgar Wong |
| Email of Supervisor: | edgar.wong@unsw.edu.au |
| Name of Joint/Co-Supervisor: | . |
| Email of Joint/Co-Supervisor: | . |
| School: | School of Chemical Engineering |
| Faculty Research Area (Theme): | Health & Medical Technologies |
| Applicable to other Engineering schools/disciplines: |
Biomedical Engineering Computer Science & Engineering Mechanical & Manufacturing Engineering Photovoltaic and Renewable Energy Engineering |
| Terms: |
Summer |
| Abstract: | Antimicrobial resistance (AMR) is now considered a critical global healthcare challenge and urgently requires new therapeutic strategies to overcome this issue. Antimicrobial peptides (AMPs) and mimics thereof have been shown to effectively synergise and revive the 'lost' activity of antibiotics against multidrug-resistant bacteria. This approach is promising in combating AMR and we aim to build upon our initial work and develop further. The project will look at testing more combinations and against wider panel of bacteria including priority pathogens such as Klebsiella pneumoniae and Acinetobacter baumannii. |
| Research Environment: | Very biofocussed project and hence the scholar will be mainly working in a PC2 microbiology lab to perform antimicrobial assays. Scholar needs to have good attention to detail. |
| Novelty and Contribution: | . |
| Expected Outcomes: | Tested various combinations of AMPs and antibiotics against different bacteria strains. The results are expected to lead to high impact publication and also further in vivo testing in animal models with collaborators, which would form the basis of preclinical work for future translation. The scholar will learn/enhance technical skills at working in a biolab and also develop deep knowledge in the AMR field. |
| Reference Material Links: | https://www.edgarwonglab.com/ https://pubs.acs.org/doi/full/10.1021/acsinfecdis.2c00087 https://pubs.acs.org/doi/full/10.1021/acs.biomac.4c01137 General reading on antimicrobial peptides (AMPs) and combination therapy |
| Will the student visit the premises of an industry partner, or undertake any activity on premises external to UNSW? | No |
| Project Title: | Computational Design of Solid Electrolytes for Li-ion Batteries |
| Name of Supervisor: | Dr Jodie Yuwono |
| Email of Supervisor: | j.yuwono@unsw.edu.au |
| Name of Joint/Co-Supervisor: | Prof Rose Amal |
| Email of Joint/Co-Supervisor: | . |
| School: | School of Chemical Engineering |
| Faculty Research Area (Theme): | Resources Engineering |
| Applicable to other Engineering schools/disciplines: |
|
| Terms: |
Summer |
| Abstract: | Lithium (Li) metal batteries are considered as the next-generation energy-storage systems due to their high theoretical capacity and energy density. However, Li dendrite growth, interfacial instability, and the limited high-voltage stability of liquid electrolytes limit their practical application. Solid electrolytes (SEs) offer a promising alternative by improving safety and enabling high-energy-density batteries. Nevertheless, current solid-state Li metal batteries still suffer from limited cycle life and poor rate capability due to low ionic conductivity, excessive electrolyte thickness, high interfacial resistance, and uncontrolled Li dendrite growth, particularly at high current densities. This project aims to accelerate the discovery of new SEs for lithium-ion batteries by integrating large-scale materials databases with first-principles modelling. The project will leverage the existing lithium-ion SEs to analyse trends in ionic conductivity, activation energy, crystal structure, and chemical composition across reported solid electrolytes, while incorporating atomic simulation data to investigate thermodynamic stability, electronic structure, lithium migration pathways, and electrochemical stability. By combining data-driven analysis, computational screening, and machine learning, the research will establish structure–property relationships and identify key descriptors governing fast lithium-ion transport and material stability. The resulting framework will enable the rapid identification and rational design of next-generation SE materials for safer, higher-energy-density lithium-ion batteries. |
| Research Environment: | This project will be conducted in the PartCat Laboratory at the UNSW School of Chemical Engineering, and will have access to the high-performance computing facilities. The project will be jointly supervised by Prof Rose Amal and Dr Jodie Yuwono. Students will work closely with members of the PartCat research group and collaborators with other universities. |
| Novelty and Contribution: | . |
| Expected Outcomes: | Gaining hands-on experience in coding, data collection and analysis Proposing solid-state electrolyte candidates with improved performance Developing collaboration with researchers from UNSW and external partners Continuing the research as an Honours thesis project is possible |
| Reference Material Links: | https://doi.org/10.1039/d3cs00572k, https://doi.org/10.1002/anie.202409327, https://doi.org/10.1002/adma.202510376 |
| Will the student visit the premises of an industry partner, or undertake any activity on premises external to UNSW? | No |
| Project Title: | Data-driven Optimisation of Battery Recycling Process |
| Name of Supervisor: | Dr Jodie Yuwono |
| Email of Supervisor: | j.yuwono@unsw.edu.au |
| Name of Joint/Co-Supervisor: | Prof Rose Amal |
| Email of Joint/Co-Supervisor: | . |
| School: | School of Chemical Engineering |
| Faculty Research Area (Theme): | Resources Engineering |
| Applicable to other Engineering schools/disciplines: |
|
| Terms: |
Summer |
| Abstract: | Hydrometallurgy is considered as a preferred process for battery recycling over pyrometallurgy and direct recycling due to its energy efficiency and operational flexibility. Recently, deep eutectic solvents (DESs) have emerged as promising green leaching solvents due to their biodegradability, low toxicity, and tunability. This project aims to guide the optimisation of battery recycling processes using deep eutectic solvent (DES) via data-driven approaches. The project will establish causal relationships between DES chemistry, physicochemical properties, processing conditions and metal leaching efficiency, distinguishing causal effects from simple correlations. By combining data-driven analysis, computational screening, and machine learning, the research will identify the key molecular and process descriptors governing efficient metal recovery, while also enabling the rational design of sustainable DES systems for high-efficiency battery recycling processes. |
| Research Environment: | This project will be conducted in the PartCat Laboratory at the UNSW School of Chemical Engineering, and will have access to the high-performance computing facilities. The project will be jointly supervised by Prof Rose Amal and Dr Jodie Yuwono. Students will work closely with members of the PartCat research group and collaborators with other universities. |
| Novelty and Contribution: | . |
| Expected Outcomes: | Gaining hands-on experience in coding, data collection and analysis Proposing ideal parameters for leaching process and metal extraction Developing collaboration with researchers from UNSW and external partners Continuing the research as an Honours thesis project is possible |
| Reference Material Links: | Gaining hands-on experience in coding, data collection and analysis Proposing ideal parameters for leaching process and metal extraction Developing collaboration with researchers from UNSW and external partners Continuing the research as an Honours thesis project is possible |
| Will the student visit the premises of an industry partner, or undertake any activity on premises external to UNSW? | No |
| Project Title: | Data-Driven Prediction of Cyanobacterial Blooms from Water Industry Datasets |
| Name of Supervisor: | Dr Naras Rao |
| Email of Supervisor: | n.hanumanthrao@unsw.edu.au |
| Name of Joint/Co-Supervisor: | Prof Rita Henderson, QLD water industry partners |
| Email of Joint/Co-Supervisor: | . |
| School: | School of Chemical Engineering |
| Faculty Research Area (Theme): | Water and Wastewater Engineering |
| Applicable to other Engineering schools/disciplines: |
|
| Terms: |
Summer |
| Abstract: | This project will investigate the application of advanced data analysis techniques to water-quality datasets collected by our water industry partners from their lakes and catchments in Queensland. Cyanobacterial blooms are a persistent water-quality challenge for our industry partner, with bloom occurrence influenced by factors such as temperature, nutrient availability, rainfall, water retention and site-specific conditions. The TofR project will evalaute the importance of understanding these relationships and the limitations of relying on studies conducted using non-site-specific datasets. The project will involve processing, cleaning and exploring historical monitoring data to identify temporal patterns, correlations and key environmental variables associated with cyanobacterial bloom development. Statistical analysis and suitable machine learning or predictive modelling approaches will then be investigated to assess their ability to predict bloom occurrence or intensity. Model performance will be evaluated using appropriate validation and accuracy measures, with emphasis on identifying approaches that are practical for water industry applications. The outcomes will provide a data-driven understanding of bloom behaviour in the lake systems and explore the potential for predictive analytics to support proactive water-quality monitoring and treatment planning. |
| Research Environment: | The student will be based at the Algae and Organic Matter Laboratory (https://www.unsw.edu.au/research/aom) under the supervision of Dr Naras Rao. We have world class facilities and deep water industry connections. The project is highly suitable for someone who wants to work with real water quality datasets from our industry partners in Queensland. Subject to availability and project requirements, there may also be an opportunity for the student to visit the industry partner’s site to gain first-hand insight into the water systems and operational context relevant to the project. |
| Novelty and Contribution: | . |
| Expected Outcomes: | The project is expected to contribute to and improve our industry partner's understanding of cyanobacterial blooms, including their occurrence, key influencing factors and potential approaches for improved monitoring and management. The analysis will provide industry-relevant insights into the patterns and relationships within their water-quality datasets and assess the potential of data-driven approaches to support proactive bloom prediction and management. The outcomes of the project are also expected to be developed into a research publication for presentation at OzWater, Australia’s leading water industry conference. |
| Reference Material Links: | 1. https://doi.org/10.3390/microorganisms9071472 2. https://link.springer.com/article/10.1007/s40726-024-00322-w 3. https://onlinelibrary.wiley.com/doi/full/10.1002/wer.11002 |
| Will the student visit the premises of an industry partner, or undertake any activity on premises external to UNSW? | No |
| Project Title: | Electrolyser Optimisation for CO2 Reduction to Value-added Chemicals |
| Name of Supervisor: | Dr Zhipeng Ma |
| Email of Supervisor: | zhipeng.ma@unsw.edu.au |
| Name of Joint/Co-Supervisor: | Yihao Shan, Mandalena Hermawan, Rose Amal |
| Email of Joint/Co-Supervisor: | . |
| School: | School of Chemical Engineering |
| Faculty Research Area (Theme): | Energy Systems, Renewable and Non-Renewable |
| Applicable to other Engineering schools/disciplines: |
|
| Terms: |
Summer |
| Abstract: | Electrochemical CO2 reduction has the potential to revolutionise how we produce fuels and chemicals by converting waste CO2 into valuable products. However, the electrolyser performance largely relied on the operating parameters, especially for electrolyser operation under high current density. In this project we will investigate strategies to optimise the resistance of electrolysers used for CO2 reduction to value-added chemicals such as carbon monoxide, formate, and hydrocarbons. This will involve studying cell design, electrode/electrolyte interfaces, and operating conditions to minimise resistive losses. The eventual goal is to develop design principles that improve energy efficiency and product selectivity in CO2 electrolysers. |
| Research Environment: | TETB Partcat labs, School of Chemical Engineering |
| Novelty and Contribution: | . |
| Expected Outcomes: | 1) Learn how to measure and interpret electrolyser resistance using electrochemical impedance spectroscopy (EIS). 2) Acquire experience in analysing how operating conditions and design parameters influence efficiency and product selectivity. 3) Improve problem-solving skills through troubleshooting of experimental systems. |
| Reference Material Links: | https://www.pcrg.unsw.edu.au/research/research-capabilities/electrocatalysis |
| Will the student visit the premises of an industry partner, or undertake any activity on premises external to UNSW? | No |
| Project Title: | Engineering Flavour and Colour in Plant-Based Cheese |
| Name of Supervisor: | Dr Yong Wang |
| Email of Supervisor: | yong.wang2@unsw.edu.au |
| Name of Joint/Co-Supervisor: | Mr Canice Chun-Yin Yiu |
| Email of Joint/Co-Supervisor: | . |
| School: | School of Chemical Engineering |
| Faculty Research Area (Theme): | Health & Medical Technologies |
| Applicable to other Engineering schools/disciplines: |
|
| Terms: |
Summer |
| Abstract: | Plant-based cheese has attracted growing interest as an alternative to conventional dairy products. However, reproducing the characteristic flavour, aroma and appearance of dairy cheese remains challenging and is important for improving consumer acceptance. Our research group has developed an established plant-based cheese formulation with desirable texture and cooking functionality. This Taste of Research project will focus on improving its sensory characteristics through the incorporation and optimisation of food-grade flavouring ingredients and natural or commercially available food colourants. Different formulations will be prepared and compared to identify combinations that provide a more cheese-like aroma and appearance while maintaining product quality. The student will use analytical techniques including an electronic nose to characterise and compare aroma profiles. Instrumental colour measurements may also be used to assess product appearance. |
| Research Environment: | The student will join the food engineering research team in the School of Chemical Engineering at UNSW and work alongside postgraduate students and researchers conducting research on plant-based foods, food structure and flavour delivery. The project will provide hands-on experience in food formulation, experimental design and instrumental analysis. The student will have access to established plant-based cheese formulations and laboratory facilities including an electronic nose and other food characterisation equipment. |
| Novelty and Contribution: | . |
| Expected Outcomes: | The student is expected to: 1. Gain hands-on experience in formulation and preparation of plant-based cheese products. 2. Investigate the effects of selected food-grade flavouring and colouring ingredients on cheese aroma and appearance. 3. Develop experience in electronic-nose analysis, colour measurement and quantitative comparison of food products. 4. Identify promising flavour and colour formulations that improve the cheese-like sensory characteristics of the existing plant-based cheese. 5. Develop skills in experimental design, data analysis and scientific communication through preparation of the final Taste of Research poster. |
| Reference Material Links: | Yiu, C. C. Y., Kim, W., Gunawan, I. C., Vongsvivut, J., Wang, Y., & Selomulya, C. (2025). A dual polysaccharide and plant protein system for cheese analog with enhanced meltability and texture. Food Hydrocolloids, 111850. link to our patent on plant based cheese: https://patentscope.wipo.int/search/en/WO2026128974 |
| Will the student visit the premises of an industry partner, or undertake any activity on premises external to UNSW? | No |
| Project Title: | Green Ammonia Production from Nitrate-Containing Wastewater |
| Name of Supervisor: | Michael Gunawan |
| Email of Supervisor: | michael.gunawan@unsw.edu.au |
| Name of Joint/Co-Supervisor: | Ming Zhang, Rose Amal |
| Email of Joint/Co-Supervisor: | . |
| School: | School of Chemical Engineering |
| Faculty Research Area (Theme): | Health & Medical Technologies |
| Applicable to other Engineering schools/disciplines: |
|
| Terms: |
Summer |
| Abstract: | Ammonia is one of the world's most important chemicals, serving as a key feedstock for fertilisers and an emerging carbon-free energy carrier. However, almost all ammonia is currently produced through the Haber-Bosch process, which is highly energy intensive and relies on hydrogen derived from fossil fuels. As a result, conventional ammonia production is responsible for significant global carbon dioxide emissions. Electrochemical ammonia synthesis offers a promising low-carbon alternative by operating under ambient conditions using renewable electricity. In particular, nitrate-containing wastewater represents an attractive feedstock, enabling the simultaneous removal of nitrate pollutants while converting them into valuable ammonia. This approach combines wastewater treatment with resource recovery, supporting the transition towards a circular and sustainable chemical industry. One of the key challenges, however, is that many real wastewater streams contain nitrate at relatively low concentrations, which can limit the efficiency and productivity of electrochemical nitrate reduction. Capacitive deionisation (CDI) has recently emerged as a promising pre-concentration technology that can selectively capture and concentrate nitrate ions from dilute wastewater streams. By increasing the local nitrate concentration before electrochemical conversion, CDI has the potential to significantly improve ammonia production while enabling the treatment of realistic wastewater sources. This project aims to investigate electrochemical ammonia synthesis from low-concentration nitrate-containing wastewater and understand how operating conditions influence nitrate conversion, ammonia selectivity, and overall process performance. |
| Research Environment: | This project will be conducted in the PartCat Laboratory at the UNSW School of Chemical Engineering. PartCat is internationally recognised for its research in heterogeneous catalysis, electrochemical energy conversion, hydrogen production, carbon capture, and sustainable chemical manufacturing. Students will be exposed to a multidisciplinary research environment that combines materials science, electrochemistry, catalysis, and environmental engineering. |
| Novelty and Contribution: | . |
| Expected Outcomes: | 1. The student is expected to gain hands on experience in CDI and electrochemical performance measurements. 2. The project will also allow the student to work with other research students to gain valuable interdisciplinary experience. 3. The generated knowledge and data may result in a scientific journal publication. 4. Continuation of the research as an Honours thesis project is possible. |
| Reference Material Links: | Pastushok, O., et al. (2019). Nitrate removal and recovery by capacitive deionization (CDI). Chem. Eng. J., 375, 121943. Theerthagiri, J., et al. (2022). Electrocatalytic conversion of nitrate waste into ammonia: a review. Environmental Chem. Letters, 20, 2929-2949 |
| Will the student visit the premises of an industry partner, or undertake any activity on premises external to UNSW? | No |
| Project Title: | High-Throughput Photocatalyst Assessment for Solar-to-Chemical Energy Conversion |
| Name of Supervisor: | Denny Gunawan |
| Email of Supervisor: | denny.gunawan@unsw.edu.au |
| Name of Joint/Co-Supervisor: | Jodie Yuwono, Rose Amal |
| Email of Joint/Co-Supervisor: | . |
| School: | School of Chemical Engineering |
| Faculty Research Area (Theme): | Energy Systems, Renewable and Non-Renewable |
| Applicable to other Engineering schools/disciplines: |
|
| Terms: |
Summer |
| Abstract: | Photocatalysis offers a promising pathway for the direct conversion of solar energy into valuable chemical feedstocks, such as hydrogen and (oxy)hydrocarbon products. However, progress in the field is hindered by the slow discovery of efficient photocatalysts, a limited understanding of structure-activity relationships, and the lack of rapid and reliable tools for assessing photocatalyst performance under realistic operating conditions. The project will develop and integrate high-throughput photocatalytic screening methods to evaluate photocatalyst properties and performance for hydrogen production and selective organic synthesis. Key variables, including semiconductor materials, cocatalysts, and organic substrates, will be systematically investigated to identify performance descriptors that govern photocatalytic activity and selectivity. By combining rapid photocatalytic testing with data-driven machine learning analysis, the project aims to establish a robust methodology for accelerating the discovery of efficient solar photocatalysts. |
| Research Environment: | The student will have the opportunity to join the Particles and Catalysis Research Group (PartCat) under the supervision of Dr. Denny Gunawan, Dr. Jodie Yuwono, and Prof. Rose Amal. The student will have access to state-of-the-art laboratories equipped with advanced experimental facilities and computational tools for photocatalysis research. This project offers a multidisciplinary research environment where the student will develop a broad set of technical and professional skills, supporting future career opportunities in both academia and industry. |
| Novelty and Contribution: | . |
| Expected Outcomes: | The student is expected to gain hands-on experience in photocatalyst synthesis, characterisation, activity measurement techniques, and the application of machine learning. The project will also allow the student to work with other research students to gain valuable interdisciplinary experience. The generated knowledge and data will result in a scientific journal publication. Continuation of the research as an Honours thesis project is possible. |
| Reference Material Links: | 1. Gunawan, D. et al. (2024). Materials Advances in Photocatalytic Solar Hydrogen Production: Integrating Systems and Economics for a Sustainable Future. Adv. Mater. 36, 2404618. 2. Toe, C. Y. et al. (2021). Advancing Photoreforming of Organics: Highlights on Photocatalyst and System Designs for Selective Oxidation Reactions. Energy Environ. Sci. 14, 1140-1175. 3. Masood, H. et al. (2019). Machine Learning for Accelerated Discovery of Solar Photocatalysts. ACS Catal. 9, 12, 11774-11787. |
| Will the student visit the premises of an industry partner, or undertake any activity on premises external to UNSW? | No |
| Project Title: | High-throughput Screening of Catalysts for CO2 Reduction Reaction |
| Name of Supervisor: | Dr Jodie Yuwono |
| Email of Supervisor: | j.yuwono@unsw.edu.au |
| Name of Joint/Co-Supervisor: | Prof Rose Amal |
| Email of Joint/Co-Supervisor: | . |
| School: | School of Chemical Engineering |
| Faculty Research Area (Theme): | Energy Systems, Renewable and Non-Renewable |
| Applicable to other Engineering schools/disciplines: |
|
| Terms: |
Summer |
| Abstract: | Catalysis underpins modern society by enabling critical processes in agriculture, energy, and environmental protection. The discovery and rational design of advanced catalysts are therefore essential for accelerating scientific and technological progress. The integration of artificial intelligence (AI) is transforming catalyst research by enabling rapid materials discovery, property prediction, and the identification of structure–performance relationships. This project aims to develop a large language model (LLM)-driven framework for the high-throughput discovery of catalysts for the electrochemical carbon dioxide reduction reaction (CO?RR). By integrating scientific literature, computational and experimental databases, and density functional theory (DFT) datasets, the LLM will extract chemical knowledge, identify structure–activity relationships, generate and rank promising catalyst candidates, and recommend optimal compositions and surface structures for targeted computational validation. By coupling the automated DFT workflows and machine learning models, the framework will accelerate catalyst screening by predicting activity, selectivity, stability, and reaction pathways, significantly reducing the time and computational cost required to identify efficient catalysts for the sustainable conversion of CO? into value-added fuels and chemicals. |
| Research Environment: | This project will be conducted in the PartCat Laboratory at the UNSW School of Chemical Engineering, and will have access to the high-performance computing facilities. The project will be jointly supervised by Prof Rose Amal and Dr Jodie Yuwono. Students will work closely with members of the PartCat research group and collaborators with other universities. |
| Novelty and Contribution: | . |
| Expected Outcomes: | Gaining hands-on experience in coding, data collection and analysis Proposing catalyst candidates with improved performance Developing collaboration with researchers from UNSW and external partners Continuing the research as an Honours thesis project is possible |
| Reference Material Links: | https://doi.org/10.1038/s41467-023-43118-0, https://doi.org/10.1038/s41524-026-02065-2, https://doi.org/10.1002/adma.202401288 |
| Will the student visit the premises of an industry partner, or undertake any activity on premises external to UNSW? | No |
| Project Title: | Molecular Fingerprinting of Dissolved Organic Matter to Understand PFAS Transport and Fate Using LC- |
| Name of Supervisor: | Dr Fitri Widhiastuti |
| Email of Supervisor: | f.widhiastuti@unsw.edu.au |
| Name of Joint/Co-Supervisor: | Dr Helen Rutlidge |
| Email of Joint/Co-Supervisor: | h.rutlidge@unsw.edu.au |
| School: | School of Chemical Engineering |
| Faculty Research Area (Theme): | Water and Wastewater Engineering |
| Applicable to other Engineering schools/disciplines: |
|
| Terms: |
Summer |
| Abstract: | This project will investigate how dissolved organic matter (DOM) influences the transport and fate of per- and polyfluoroalkyl substances (PFAS), commonly known as “forever chemicals,” in freshwater systems. The student will gain hands-on experience in solid-phase extraction (SPE) to concentrate and fractionate DOM and PFAS from environmental water samples, followed by LC-HRMS to characterise their molecular composition and profiles. The student will also learn environmental sample preparation, advanced mass spectrometry, and data analysis to explore relationships between DOM characteristics and PFAS occurrence and partitioning. The project will contribute to a broader research program aimed at improving understanding and management of PFAS in Australian water systems. |
| Research Environment: | The student will join the Algae, Organic Matter and Micropollutants (AOM) research group within the UNSW School of Chemical Engineering, working in a multidisciplinary research environment focused on water quality, treatment, and emerging contaminants. The student will receive hands-on training in environmental sample preparation, solid-phase extraction (SPE), LC-HRMS analysis, and data interpretation, with supervision and support from researchers experienced in PFAS, dissolved organic matter, and advanced analytical techniques. |
| Novelty and Contribution: | . |
| Expected Outcomes: | The project is expected to provide insight into how different sources and molecular compositions of dissolved organic matter influence PFAS transport and fate in freshwater systems, including how PFAS interactions vary across different water matrices. The student will develop practical skills in solid-phase extraction (SPE), LC-HRMS, and advanced environmental data analysis while generating high-quality preliminary data on DOM–PFAS interactions. |
| Reference Material Links: | PFAS behavior in the environment: transport pathways, physicochemical properties, and emerging precursors | npj Emerging Contaminants https://www.nature.com/articles/s44454-026-00039-z The use of ultrahigh- and high-resolution mass spectrometry to examine the anthropogenic signature of dissolved organic matter in aquatic systems | Nature Water https://www.nature.com/articles/s44221-026-00682-1 The role of dissolved organic matter during Per- and Polyfluorinated Substance (PFAS) adsorption, degradation, and plant uptake: A review - ScienceDirect https://www.sciencedirect.com/science/article/abs/pii/S0304389422009293 |
| Will the student visit the premises of an industry partner, or undertake any activity on premises external to UNSW? | No |
| Project Title: | Next-Generation PEI-Based Solid Sorbents for Efficient Direct Air Capture (DAC) |
| Name of Supervisor: | Dr Bingqiao Xie |
| Email of Supervisor: | bingqiao.xie@unsw.edu.au |
| Name of Joint/Co-Supervisor: | Dr Qiyuan Li, Prof Rose Amal |
| Email of Joint/Co-Supervisor: | qiyuan.li@unsw.edu.au; r.amal@unsw.edu.au |
| School: | School of Chemical Engineering |
| Faculty Research Area (Theme): | Resources Engineering |
| Applicable to other Engineering schools/disciplines: |
|
| Terms: |
Summer |
| Abstract: | Direct air capture (DAC) is emerging as a critical technology for achieving net-zero emissions, but its deployment is currently limited by the performance and energy requirements of CO? adsorbents. Among various materials, poly(ethylenimine) (PEI)-based solid sorbents supported on porous substrates (e.g., silica or alumina) have shown strong potential due to their high affinity toward CO? at low concentrations (~400 ppm). However, challenges remain in balancing adsorption capacity, kinetics, stability, and regenerability under realistic operating conditions. This project aims to synthesise and evaluate PEI-based solid sorbents for DAC applications. The student will prepare supported amine sorbents using wet impregnation methods and investigate their CO? capture performance under simulated air conditions. Key variables such as PEI loading, support structure, and adsorption/desorption conditions will be systematically studied. |
| Research Environment: | The student will have the opportunity to join the Particles and Catalysis Research Group (PartCat) under the supervision of Dr Bingqiao Xie, Dr. Qiyuan Li and Prof Rose Amal. The student will have access to state-of-the-art laboratories equipped with advanced experimental facilities for sorbent synthesis and gas adsorption testing. This project offers a multidisciplinary research environment where the student will develop a broad set of technical and professional skills, supporting future career opportunities in both academia and industry. |
| Novelty and Contribution: | . |
| Expected Outcomes: | The student is expected to:Gain hands-on experience in sorbent synthesis and gas adsorption measurements; Understand key performance metrics in DAC (capacity, kinetics, cyclic stability); Develop skills in data analysis and interpretation of adsorption behaviour; Contribute to a dataset that supports ongoing research on DAC materials.Continuation of the research as an Honours thesis project is possible. |
| Reference Material Links: | 1. Lashaki, M. J.; Khiavi, S.; Sayari, A. Chem. Soc. Rev., 2019, 48, 3320–3405. 2. Varni, A. J.; Braunecker, W. A.; Andrade, M. F. C.; et al. Chem, 2026, 12, 3. 3. Meng, Y.; Jiang, J. G.; Aihemaiti, A.; et al. ACS Appl. Mater. Interfaces, 2019, 11, 33781–33791. 4. Li, S. C.; Guta, Y.; Andrade, M. F. C.; et al. J. Am. Chem. Soc., 2024, 146, 28201–28213. 5. Carneiro, J. S. A.; Innocenti, G.; Moon, H. J.; et al. Angew. Chem. Int. Ed., 2023, 62. 6. Guta, Y. A.; Carneiro, J.; Li, S. C.; et al. ACS Appl. Mater. Interfaces, 2023, 15, 46790–46802. 7. Sadykova, I. I.; Michel, B.; Mansour, C.; et al. Chemical Engineering Journal, 2026, 527, 172104. |
| Will the student visit the premises of an industry partner, or undertake any activity on premises external to UNSW? | No |
| Project Title: | Optimising Thawing Strategies for Black Truffle Aroma and Quality |
| Name of Supervisor: | Dr Yong Wang |
| Email of Supervisor: | yong.wang2@unsw.edu.au |
| Name of Joint/Co-Supervisor: | Dr Miranda Yang |
| Email of Joint/Co-Supervisor: | . |
| School: | School of Chemical Engineering |
| Faculty Research Area (Theme): | Health & Medical Technologies |
| Applicable to other Engineering schools/disciplines: |
|
| Terms: |
Summer |
| Abstract: | Black Périgord truffle (Tuber melanosporum) is highly valued for its distinctive aroma, but freezing and thawing can alter volatile compounds and tissue quality. This project will investigate how different thawing strategies influence aroma retention and physical quality after frozen storage. Conventional refrigerated and room-temperature thawing will be compared with microwave-assisted rapid thawing approaches designed to shorten thawing time. The student will track post-thaw changes using a commercial electronic nose for rapid aroma fingerprinting, supported by selected gas chromatography-mass spectrometry (GC-MS) measurements. Texture analysis and thawing/weight loss measurements will be used to evaluate physical changes in parallel. The project aims to identify practical thawing conditions that better preserve truffle aroma while maintaining acceptable texture, and to assess whether electronic-nose measurements can provide a rapid indicator of post-thaw quality. |
| Research Environment: | The student will join the food engineering research team in the School of Chemical Engineering at UNSW and work within an ongoing research program on Australian truffle processing and aroma. The project provides hands-on experience in experimental design, frozen-food processing, aroma analysis and food texture characterisation. The student will have access to frozen black truffle samples, commercial electronic-nose systems, texture-analysis equipment and GC-MS support within the research team. |
| Novelty and Contribution: | . |
| Expected Outcomes: | • Compare conventional and rapid thawing strategies for frozen black truffle. • Quantify post-thaw aroma changes using electronic-nose fingerprints and selected GC-MS measurements. • Measure changes in firmness, thawing loss and short-term post-thaw quality. • Identify thawing conditions that provide a favourable balance between aroma retention and physical quality. • Develop skills in experimental design, multivariate data analysis and scientific communication through the final Taste of Research poster. |
| Reference Material Links: | Lao, Y., Lee, D., Wilson, A., Wang, Y., & Selomulya, C. (2026). Variations in truffle aroma during processing and storage: From aroma degradation to emerging encapsulation strategies. Trends in Food Science & Technology, 105729. |
| Will the student visit the premises of an industry partner, or undertake any activity on premises external to UNSW? | No |
| Project Title: | Photocatalytic selective methane oxidation to methanol |
| Name of Supervisor: | Denny Gunawan |
| Email of Supervisor: | denny.gunawan@unsw.edu.au |
| Name of Joint/Co-Supervisor: | Dr Bingqiao Xie, Prof Rose Amal |
| Email of Joint/Co-Supervisor: | bingqiao.xie@unsw.edu.au; r.amal@unsw.edu.au |
| School: | School of Chemical Engineering |
| Faculty Research Area (Theme): | Energy Systems, Renewable and Non-Renewable |
| Applicable to other Engineering schools/disciplines: |
|
| Terms: |
Summer |
| Abstract: | Methane is a far more potent greenhouse gas than carbon dioxide and accounts for around 20% of global emissions, many of which originate from non-point sources such as landfills, animal farms, composts, and sewers [1]. The partial oxidation of methane to methanol represents a promising strategy for methane abatement. As the simplest liquid carrier, methanol is an important chemical feedstock and a potential transportation fuel. Photocatalysis offers a solar-driven pathway for methane conversion under mild conditions [2]. However, despite its potential, photocatalytic methane oxidation still faces challenges related to activity, selectivity, and stability. Therefore, the effective design of photocatalysts and cocatalysts is essential. This project aims to develop efficient photocatalysts incorporating dual metal cocatalysts to enable selective methane oxidation to methanol. Fundamental insights into the reaction mechanisms will also be investigated. |
| Research Environment: | The student will have the opportunity to join the Particles and Catalysis Research Group (PartCat) under the supervision of Dr Denny Gunawan, Dr Bingqiao Xie, and Prof Rose Amal. The student will have access to state-of-the-art laboratories equipped with advanced experimental facilities and computational tools for photocatalysis research. This project offers a multidisciplinary research environment where the student will develop a broad set of technical and professional skills, supporting future career opportunities in both academia and industry. |
| Novelty and Contribution: | . |
| Expected Outcomes: | The student is expected to gain hands-on experience in nanomaterials synthesis and characterisation as well as photocatalytic activity measurements. The project will also allow the student to work with other research students to gain valuable interdisciplinary experience. The generated knowledge and data will result in a scientific journal publication. Continuation of the research as an Honours thesis project is possible. |
| Reference Material Links: | [1] Balcombe, P. et al. (2018). Methane emissions: choosing the right climate metric and time horizon. Environ. Sci. Processes Impacts 20, 1323-1339. [2] Li, X. et al. (2022). Methane transformation by photocatalysis. Nat. Rev. Mater. 7, 617-632. |
| Will the student visit the premises of an industry partner, or undertake any activity on premises external to UNSW? | No |
| Project Title: | Production of Renewable Liquid Fuel: e-Methanol and e-SAF |
| Name of Supervisor: | Dr Charlotte Zhu |
| Email of Supervisor: | y.f.zhu@unsw.edu.au |
| Name of Joint/Co-Supervisor: | Mr Sergio Londono |
| Email of Joint/Co-Supervisor: | s.londono@unsw.edu.au |
| School: | School of Chemical Engineering |
| Faculty Research Area (Theme): | Energy Systems, Renewable and Non-Renewable |
| Applicable to other Engineering schools/disciplines: |
|
| Terms: |
Summer |
| Abstract: | Low carbon liquid fuels such as Sustainable Aviation Fuel (e-SAF) and Renewable Methanol (e-Methanol) are vital for decarbonizing hard-to-abate sectors such as aviation, shipping and heavy industry. e-SAF can significantly reduce lifecycle greenhouse gas(GHG) emissions compared to conventional jet fuel and can be used in existing aircraft engines with minimal modifications. e-methanol can be produced from renewable electricity, CO2 captured from industrial processes or directly from air, and water. It serves as a versatile solution for reducing emissions in sector where electrification is not possible. E-methanol can be used as a chemical feedstock, a marine fuel, an intermediate for synthetic fuels , a potential precursor for SAF and an energy carrier that can use existing liquid-fuel infrastructure, effectively closing the carbon loop by utilizing CO2 and reducing reliance on fossil fuels. Both e-SAF and e-Methanol are drop-in fuels and are crucial for transitioning to a sustainable energy system. Unlike ammonia and hydrogen, they can be used directly thus offer practical pathways for emission reductions in hard-to-abate sectors while leveraging existing infrastructure and technologies. SHINE 3.0 refers to Solar Harvesting for Integrated New Energy, a pilot-scale integrated solar-to-fuel system developed by UNSW Chemical Engineering/PartCat. Its purpose is to demonstrate production of e-methanol from captured CO2 and renewable H2, with the energy required for the process supplied by solar energy. The core reaction is: For complete project description, please refer to: https://www.unsw.edu.au/engineering/student-life/undergraduate-research-opportunities/advertised-taste-research-areas |
| Research Environment: | This project provides the opportunity for practical research and engineering work in a state-of-the-art catalysis research group laboratory with particularly focus on evaluation of Power-to-X technologies. |
| Novelty and Contribution: | . |
| Expected Outcomes: | The appointed student will work with Senior Principal Process Engineer, researcher and industry partner to operate SHINE reactor system and evaluate its performance through series of reaction testing. The outcomes of this project will contribute to refining experimental protocols for pilot scale liquid fuel synthesis and generating data for peer-reviewed publications. |
| Reference Material Links: | https://www.pcrg.unsw.edu.au/SHINE3.0 |
| Will the student visit the premises of an industry partner, or undertake any activity on premises external to UNSW? | No |
| Project Title: | Synthesis of environmentally friendly and electrically conducting graphene/polymer nanocomposites |
| Name of Supervisor: | Per Zetterlund |
| Email of Supervisor: | p.zetterlund@unsw.edu.au |
| Name of Joint/Co-Supervisor: | Vipul Agarwal |
| Email of Joint/Co-Supervisor: | . |
| School: | School of Chemical Engineering |
| Faculty Research Area (Theme): | Advanced Materials |
| Applicable to other Engineering schools/disciplines: |
|
| Terms: |
Summer |
| Abstract: | The material graphene was discovered in 2004 (Noble Prize awarded in 2010) – it is the strongest material ever measured, and this is accompanied by a range of other extraordinary physical properties such as high thermal conductivity and high electrical conductivity. In this project, novel polymeric nanocomposites with superior physical properties will be prepared using graphene. The addition of graphene as a component of polymer nanocomposites results in superior material properties – it is a way of combining “the best of both worlds� (polymer and graphene). However, both pristine graphene and graphene oxide are incompatible with most hydrophobic polymers, and do not form homogeneous polymer composites. This project specifically addresses these issues by employing graphene oxide as surfactant for synthesis of polymeric nanoparticles in miniemulsion, i.e. various monomers will be polymerized in aqueous miniemulsions in this way, thus generating novel materials. The obtained aqueous emulsions of polymer/graphene oxide will then be cast as films – these films will subsequently be annealed (heat treatment) whereby graphene oxide is reduced, rendering the films electrically conductive. One of the current research challenges is to control the distribution of graphene throughout the material, and thereby control the electrical conductivity. |
| Research Environment: | The student will work in the well-equipped Cluster for Macromolecular Design (CAMD) laboratory alongside a large number of postgraduate students and postdoctoral researchers, the vast majority of whom are also involved in related research. This will be an ideal and stimulating environment to learn what research is all about. |
| Novelty and Contribution: | . |
| Expected Outcomes: | The main novelty in the present project lies in the fact that new means of preparing attractive graphene/polymer nanocomposite materials and nano-objects will be developed, which is of importance for design of nano-engineered materials with a wide range of applications. It is expected that the experimental work by the student will be included in an article for publication in a high impact international journal. Our research centre publishes a high number of papers per year, and small projects typically become part of larger research papers, thus contributing to the CV of the student (who would be a co- author). |
| Reference Material Links: | Please check with supervisor. |
| Will the student visit the premises of an industry partner, or undertake any activity on premises external to UNSW? | No |
| Project Title: | Transforming Learning: The Impact of Generative AI in Higher Education |
| Name of Supervisor: | Sarah Grundy |
| Email of Supervisor: | s.grundy@unsw.edu.au |
| Name of Joint/Co-Supervisor: | Peter Neal |
| Email of Joint/Co-Supervisor: | . |
| School: | School of Chemical Engineering |
| Faculty Research Area (Theme): | Education |
| Applicable to other Engineering schools/disciplines: |
|
| Terms: |
Summer |
| Abstract: | Renewable fuels have the potential to revolutionise how we produce and store clean energy. Ammonia is one such promising energy carrier. In this project, we will develop a renewable ammonia production process using a scaled-up electrolyser system. We will generate green ammonia using waste nitrite as a resource, focusing on system design, efficiency optimisation, and scalability. The eventual goal is to demonstrate a pilot-scale pathway that could contribute to carbon-free fuel production and agricultural fertiliser supply. You will learn how to operate and characterise 250 cm2 electrolyser systems, analyse energy consumption, and evaluate process performance under realistic operating conditions. You will also gain experience in renewable energy system, with applications extending to energy storage, shipping fuels, and sustainable agriculture. |
| Research Environment: | Desktop analysis that is, no laboratory requirements. Data analysis, evaluation using mix-methods approaches (qualitative and quantitative) aspects, exploaring engineering education including theoretical frameworks and thematic analysis. |
| Novelty and Contribution: | . |
| Expected Outcomes: | Paper manuscript and presentation to stakeholders. |
| Reference Material Links: | 1. ChatGPT versus engineering education assessment: a multidisciplinary and multi-institutional benchmarking and analysis of this generative artificial intelligence tool to investigate assessment integrity, which looks at 2023 GenAI performance on different types of assessments, across diverse cohorts, units, and disciplines through use of ChatGPT3.5 as the tool. Recording breaking paper (one of the first of this study type)(https://www.tandfonline.com/doi/full/10.1080/03043797.2023.2213169) 2. ChatGPT, Copilot, Gemini, SciSpace and Wolfram versus Higher Education Assessments: An Updated Multi-Institutional Study of the Academic Integrity Impacts of Generative Artificial Intelligence (GenAI) on Assessment, Teaching and Learning in Engineering, which looks at evolving performance of GenAI less than a year from the initial study through use of multiple GenAI tools (https://www.tandfonline.com/doi/full/10.1080/22054952.2024.2372154) |
| Will the student visit the premises of an industry partner, or undertake any activity on premises external to UNSW? | No |
| Project Title: | Understanding Light Effects in Photo(electro)catalytic Glycerol Valorisation |
| Name of Supervisor: | Dr Michael Gunawan |
| Email of Supervisor: | michael.gunawan@unsw.edu.au |
| Name of Joint/Co-Supervisor: | Dr Denny Gunawan, Scientia Prof Rose Amal |
| Email of Joint/Co-Supervisor: | . |
| School: | School of Chemical Engineering |
| Faculty Research Area (Theme): | Energy Systems, Renewable and Non-Renewable |
| Applicable to other Engineering schools/disciplines: |
|
| Terms: |
Summer |
| Abstract: | Glycerol is an abundant biomass-derived feedstock and a major by-product of biodiesel production, making it an attractive renewable feedstock for sustainable chemical manufacturing. Rather than treating glycerol as a waste, its selective conversion into value-added chemicals, such as glyceraldehyde, dihydroxyacetone, and glyceric acid, provides an opportunity to improve biomass utilisation and reduce reliance on fossil-derived chemical feedstocks. For full project description, please refer to https://www.unsw.edu.au/engineering/student-life/undergraduate-research-opportunities/advertised-taste-research-areas |
| Research Environment: | The student will have the opportunity to join the Particles and Catalysis Research Group (PartCat) under the supervision of Dr Michael Gunawan, Dr Denny Gunawan, and Prof Rose Amal. The student will have access to state of the art laboratories equipped with advanced experimental facilities and computational tools for photocatalysis research. This project offers a multidisciplinary research environment where the student will develop a broad set of technical and professional skills, supporting future career opportunities in both academia and industry. |
| Novelty and Contribution: | . |
| Expected Outcomes: | 1. The student is expected to gain hands on experience in nanomaterials synthesis and characterisation as well as photo(electro)catalytic activity measurements. 2. The project will also allow the student to work with other research students to gain valuable interdisciplinary experience. 3. The generated knowledge and data may result in a scientific journal publication. 4. Continuation of the research as an Honours thesis project is possible. |
| Reference Material Links: | Wen, L., et al. (2026). Light-induced selectivity of photoelectrochemical glycerol oxidation using BiVO4 photoanodes. Cell Reports Physical Science, 7, 103443. |
| Will the student visit the premises of an industry partner, or undertake any activity on premises external to UNSW? | No |
Projects offered by other Engineering Schools that may be of interest are:
Authorised by Dean, Faculty of Engineering, UNSW, Provider Code: 00098G, ABN: 57 195 873 179
Page last updated: Monday 18 August 2025