Mahdieh is an MPhil candidate in bioinformatics who passed her completion seminar in September 2026 and is finalising her thesis on single-cell data analysis. With a Bachelor’s and Master’s in Applied Mathematics and strong R programming skills, Mahdieh seeks an internship to apply her quantitative and computational expertise to real-world research challenges.

Sujan De Silva, Master of Arts by Research candidate at Swinburne University of Technology has a background in law and policy advocacy. His research interests include environmental law, deforestation, human rights, and sustainable technology governance. He is interested in an internship to develop his practical research skills, gain industry experience, and contribute to evidence-based policy solutions.

Gurmeet is a first-year PhD student in School of Translational Medicine at Monash University, whose research focuses on developing stem cell-based therapies for temporal lobe epilepsy. His skills include gel electrophoresis, plasmid isolation, stem cell culture, neuronal differentiation, preclinical neurobehavioural tests, and data anlaysis using Python. He is interested in an internship across industries and laboratories to gain practical experience, develop new skills and apply his research expertise to real-world challenges.

Suchit Sharma is a PhD candidate in Chemical Engineering at Monash University. He is developing spray-roasting processes to produce high-purity alumina while regenerating the acid. He combines CFD, Aspen Plus modelling, reaction kinetics and data analytics with over four years of industry experience. He wants an internship to apply this expertise to industrial problems and build Australian industry connections.

Tyler-Shea’s research interests include educational and cross-cultural psychology, neurodiversity, ADHD, and inclusive education. She has experience in mixed-methods research, quantitative and qualitative data analysis, and cross-cultural research across diverse contexts. Tyler-Shea is interested in an internship to apply her research skills in practice, collaborate across disciplines, and contribute to evidence-informed approaches to educational equity and inclusion.

Alex Jiǎng is a PhD candidate in Computer Science at RMIT. His thesis, Improving Token Efficiency by Compression, measures what AI systems really cost and provides statistical guarantees on when those savings are safe. He pairs rigorous quantitative analysis with stakeholder consultation, and he wants to apply these skills to an evidence-based volunteer workforce strategy.

Frank is a Civil Engineering research master's student at RMIT, specialising in AI-enhanced computational mechanics and machine learning interatomic potentials. His expertise includes molecular dynamics, numerical modelling, and scientific computing. He seeks opportunities to apply his computational and machine learning skills to real-world engineering challenges through industry research and development.

Christopher Busayo Olowosoke is a Graduate Researcher at RMIT University, currently, investigating on bioprospection of natural compounds for the pharmacological management of specific targets driving neurovascular degeneration in diabetic retinopathy (DR), with formulation of natural-based polymer for 3D printing an ocular insert for non-invasive site-specific delivery of selected natural compound for DR management. An internship opportunity will provide him with the industry-based training support, and experience on the technical-know for the translational deployment of this non-invasive therapy for medtech innovation.

Jing Ren is a final-year PhD candidate specialising in graph learning, anomaly detection, and trustworthy artificial intelligence. She has expertise in graph neural networks, multimodal learning, and foundation models. She seeks an industry internship to apply her research skills to real-world challenges and gain practical experience in developing deployable AI solutions.