Zijian Zhao is a PhD candidate at the University of Sydney with expertise in AI-driven healthcare, ECG signal analysis, deep learning, and reproducible model evaluation. He is interested in an internship to translate his machine learning skills into practical biomedical applications and gain industry experience in solving real-world research challenges.

An internationally recognised professional with 18+ years of experience, She specialises in advanced battery cooling for electric aviation and renewables. Having delivered $100M+ in innovation value at Ansys and Enovix, she also co-founded a $10M startup. Currently, she is completing a PhD at the University of Sydney, focusing on sorption-based cooling for eVTOLs. Her expertise bridges high-fidelity numerical simulation and strategic commercial leadership to accelerate the adoption of sustainable, high-performance energy storage solutions across the global aerospace and automotive sectors.

George Gong is a final-year PhD candidate specializing in hydrogel electrolytes for aqueous batteries, with expertise in electrochemistry, polymer chemistry, and advanced characterization techniques. His research focuses on ion transport and interfacial mechanisms. He is interested in an internship to translate his academic experience into practical applications in energy storage technologies.

Chen is a third‑year PhD candidate at the University of Sydney specialising in real‑time motion monitoring to enable precise radiotherapy for head and neck cancer patients. Chen has strong experience in quantitative modelling, data‑driven decision‑making, and medical image analysis, along with leadership skills developed through mentoring students, leading student initiatives, managing tutor teams, and presenting complex technical ideas to diverse audiences. Chen looking to apply her analytical skills, problem‑solving mindset, and collaborative approach in a health analytics role.

Tharinda Piyadasa is a PhD candidate at the University of Sydney, specializing in computer vision, deep learning, and speech/acoustic analysis applied to biomedical imaging. With strong skills in programming, machine learning, and data analysis across both research and industry settings, he is keen to apply these skills to real-world challenges through a hands-on internship.

Nafiseh Imanian is an AI researcher with expertise in machine learning, explainable AI, time-series anomaly detection, graph-based modelling, and agentic AI systems. Her research focuses on developing trustworthy and interpretable AI for complex real-world data. She is interested in this internship to apply her research skills to practical network analytics challenges.

Xiaojing’s research interests lie at the intersection of mathematics, machine learning, and psychology, with a focus on human wellbeing and mathematical rigor. She has skills in Python and machine learning, alongside research experience in clinical psychology and software engineering experience at Huawei. She is interested in an internship to apply her PhD skills beyond academia.

Moe Qashlan is an Associate Lecturer in Emerging Technologies at the University of Sydney. His research interests encompass Human-Computer Interaction, user experience, and sensemaking through design. He is also experienced in research, interface and visual design, and customer journeys.

Alan An is a PhD researcher at the University of Sydney focusing on nanotechnology and metabolomics for biomarker discovery. His research explores next generation mass spectrometry using nanomaterials to enhance metabolite detection. He seeks industry internship opportunities to translate academic research into practical biomedical and biotechnology applications.