Dharanija, a PhD candidate specialising in polymer composite synthesis using end-of-life tyre char, has a strong interest in sustainable development and waste reduction. With skills in project management, data analysis, process modelling, and team communication, Dharanija seeks an internship to apply this expertise practically, contribute to real-world projects, and enhance professional skills.

Mohamed Yusuf is a PhD candidate at UNSW, specialising in quantum computing. He has a Bachelors in Electrical Engineering, Physics, and a master’s in Computational Physics. Mohamed is passionate about quantum technologies and how to leverage them within computational frameworks. He has extensive coding experience in Python and C++, he seeks an internship to apply his breadth of knowledge to real-world computing challenges.

LAishwarya's research focuses on Social NLP (Natural Language Processing), which focusses on approaches and techniques to use existing language models to generate text that is non-toxic, empathetic and user friendly. She is interested in Dialog systems with applications related to healthcare. She has skills in machine learning, artificial intelligence, and has worked with popular models like GPT2 and more recent large language models.

Luyi's research interests include statistical modeling, time series analysis, and spatial modeling. Luyi has practical experience in stock market and precipitation prediction, and is proficient in using the R and Python programming languages. Luyi seeks to apply these analytical skills in a commercial setting.

Yijie aspires to go into the industry and become an Research and Development (R&D) engineer after his PhD degree. He has interests in communication networking, embedded system development, and simulation modeling. And he has extensive experience in C/C++, Python, Linux programming, PCB design and simulation development. Yijie enjoys a hands-on approach towards project through prototyping and testbed implementation. Currently, he is seeking internship opportunities to help him transition into the industry.

Waleed’s research interests lie in applied statistics, machine learning (ML) and Bayesian statistics. In each area, his work will strive for a balance between consistent application methods in the practice of statistics in real-world problems and in more innovation in statistics. Applications include various problems in statistics, machine learning, health, social media, environment and society.

Tan's research interests include applied mathematical modelling, algorithms development. He is skilled in MATLAB, Python programming. He would like to apply his research commercially.

Soobok Yoon is a PhD candidate focusing on solving charging scheduling issues for electric vehicle fleets and optimizing the infrastructure design and investment strategies of smart charging systems. He is skilled in mathematical modelling and algorithm design, with extensive experience in MATLAB/Simulink programming. Through this internship, he aims to comprehensively understand the energy market's working principles and acquire expertise in developing energy trading systems.

Karina is a final year PhD student at the University of New South Wales, interested in exploring novel approaches to target neurocognitive risk factors for psychological disorders in adolescents through cognitive training interventions as a Scientia Scholar. She has extensive experience in behavioural experimental design and using R programming language. Karina would like the opportunity to apply her research knowledge and skills in real-world projects.