Fostering Future Research Leaders: The Role of NCI’s HPC-AI Talent Scholarship Program in Empowering HDR Students
Frederick Fung1, Jingbo Wang1 1National Computational Infrastructure, Acton Canberra, ACT, Australia
Abstract
HPC-AI has now become a bundled term due to the rapid progress of deep learning architectures, which are empowered by running AI applications at scale on supercomputing infrastructures. The HPC-AI Talent Scholarship Program, initiated by the National Computational Infrastructure (NCI), has been instrumental in shaping the research journey of HDR students. The program, introduced in January 2023, emphasises on fostering the HDR students’ research in the domains of High-Performance Computing and Artificial Intelligence, paving the way for the next generation of researchers.
The scholarship program does more than just providing computing resources. At its core, it presents a tailored nurturing environment where HDR students can conduct cutting-edge research in their respective fields. The program leverages the state-of-the-art computational resources of NCI to equip these scholars with a robust platform for executing advanced AI applications on a grand scale.
At NCI, we recognise the fact that most PhD students are not eligible to apply independently as CI for the national scheme, has strategically devised this program to support the HDR students. This initiative grants them access to resources typically beyond their reach, thereby amplifying their research potential.
In this presentation, we will showcase some remarkable accomplishments of ten PhD students from diverse fields, including Bioinformatics, Astronomy, and Computational Fluid Dynamics (CFD) modelling, who have benefitted from this program. Additionally, we will share our experiences of offering them a stepping stone to advance their research and contribute effectively to their disciplines.
Biography
Frederick Fung currently serves as the Training and Research Engagement Manager at the National Computational Infrastructure (NCI). He has research background in numerical methods in HPC and large-scale simulations. In his current role, he focuses on fostering research engagement at NCI and the development and organisation of various training activities primarily in HPC and AI fields.