Daniel Johnston is a PhD student at UNSW Canberra specialising in number theory. He has a keen interest in both pure and applied mathematics. In particular, beyond the programming skills he uses in his PhD, he has also done research in ocean modelling and has an interest in doing further work in Environmental science. Daniel is interested in an internship to get a feel for applied work in industry that benefits from his mathematical background.

Yimin Li is adept in business model innovation and product platforms, driven by a passion for transforming industrialized house building. With expertise in strategic management and innovation, Yimin aims to bridge theoretical insights with practical industry solutions.

Imesha has a keen interest in the field of medicinal and synthetic chemistry. She possesses skills required for designing and synthesizing compounds, purifying and carrying out analytical characterization using various spectrometric techniques (NMR, HPLC and LCMS). Imesha is looking for an internship opportunity that can help her enhance her knowledge experimenting on a variety of organic and inorganic synthetic chemistry. She is also eager to learn about the latest scientific technologies and equipment used in the pharmaceutical industry.

Lieu's research delves into enhancing cybersecurity using advanced AI techniques, particularly focusing on the application of Large Language Models (LLMs) in Natural Language Processing (NLP) to analyze and interpret cyber threat intelligence. Ultimately, her thesis represents a significant stride in combining AI, cybersecurity, and data science to create more robust digital defense mechanisms.

Clinton's research seeks to develop universal representations and applications of data features learned from non-standardised human motion datasets. Clinton's work involves a high affinity towards computational geometry, Python development, and graphics data visualisations, in order to produce artificial intelligence solutions with extremely low error tolerances.

Quang Du has a deep passion for artificial intelligence and its applications in structural health monitoring. Quang Du is skilled in data processing, deep learning, natural language processing, and generative AI and is experienced in Python programming and deep learning frameworks such as Pytorch, Numpy, and Pandas. Quang Du seeks an internship to apply his research in the industry context.

Lily's research interests lie in off-site construction, sustainability and decarbonisation, and operations research. With a background in civil and structural engineering, she has worked on real-life infrastructure design projects. During her PhD, Lily gained expertise in simulation modelling and mathematical optimisation, and she is proficient in programming languages such as Python and Java, as well as simulation software like AnyLogic. She is passionate about applying her skills in a practical, commercial environment through an internship.

Masoud Kamali is a PhD student at the University of Melbourne. Masoud’s PhD research centres on the development of spatially-enabled 3D asset recognition for complex environments. As a AI researcher, and full-stack developer, he has undertaken multiple research and development projects related to 3D computer vision and object detection, as well as web-based and mobile applications in the geospatial industry.

Amin is researching local decentralized renewable energy markets, with the goal of comprehending market dynamics and creating tools to optimize advantages for homeowners utilizing solar energy. Throughout his research journey, skills have been developed in operations research, numerical simulations, and data analysis using Python, alongside gaining proficiency in blockchain smart contracts. Amin would like to engage in an internship to gain industrial insight and apply his skills and research in practice.