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Accelerate research success from the young academic generation by providing PhD scholarships and computing resources

Program Information

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. NCI empower the research that needs computing, storage, and cloud resources through various merit-based allocation schemes.  However, most PhD students are not eligible as independent lead CI to apply for the national scheme. To address the growing demand for computing and storage resources of the HPC-AI application, as well as support early career researchers, NCI offers 100KSU with appropriate storage, and AUD $10,000 per year to support PhD programs through the Australian HPC-AI Talent Program. The extra fund could provide opportunities for PhD students to participate in international domain expertise conferences or supercomputing conferences. 

We are looking forward to supporting AI applications on diverse scientific problems such as solving differential equations, accelerating molecular dynamics, predicting 3-dimensional protein structures, controlling nuclear fusion, or weather forecasting with higher resolution and accuracy. Some HPC-AI applications encounter a range of workflow bottlenecks. The performance can be limited by compute bound, I/O bound, memory bound, or a combination of the above, pushing the need for HPCD into the exascale range. The unprecedented representational ability of deep neural network structures can only be brought to bear on the most complex and urgent global problems by model training with ultra-large datasets on heterogeneous exascale HPCD architectures. Hence we would like to identify those hurdles and provide support to address them for the next generation of young researchers. 

Eligibility

We aim to support 10 PhD students in 2023. The general rule is that the fund and compute resources are to be used within the period of PhD study.

  • Current PhD students, including to be the first year PhD for the year of application.
  • The final year of PhD students is subject to the finishing timeline of the PhD.
  • Australian and New Zealand applicants only

Inquiry

Should you have any questions, please send emails to training.nci@anu.edu.au.

Application Process

Eligible candidates need to go through the application process for the scholarship program. The selection is merit-based and the judging committee makes the decision independently.

DateSteps
20 Dec 2022 Application open
31 Jan 2023Application close
1 – 15 Feb 2023Judge committee review and discussion
16 Feb 2023Scholarship result announcement


Application Submission

Please provide your resume (2 pages maximum), two reference letters and your application (2 pages maximum) to training.nci@anu.edu.au as PDF attachments. Please use the Application Template file below.

studentship_application_NAME_ORG.docx

Program stages

For successful scholarship recipients, program reviews are conducted each quarter for the duration of the program and a final report is required at the end of the program. 

DateStages
Feb 2023

Onboarding with training

Mar 2023

Project plan initial review 

May 2023Quarter 1 review 
Aug 2023Quarter 2 review and mid-term showcase 
Nov 2023

Quarter 3 review

Jan 2024 Final report
Feb 2024 End of program presentation and symposium


More details to be released. Subscribe to the NCI newsletter to stay up to date.


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