Skip to main content

Schemes

Supporting excellence in data-driven research through SIH assistance

Sydney Informatics Hub supports a number of schemes to help researchers meet their data and HPC needs. Check out the schemes below.

SIH supported schemes

The Sydney Informatics Hub (SIH) Project Scheme aims to drive excellence in digital and data-driven research across the University by providing grants to support access to the SIH facility. SIH supports researchers with gaining more productive and new insights from their data using data science approaches, scientific computing infrastructure, and best practice data management. 

SIH will provide support for: 
Statistical analyses, data processing, programming, GPU programming, machine learning, predictive modelling, text analytics, natural language processing, Bayesian approaches, geospatial analysis, image processing, simulation, visualisation, bioinformatics, software engineering, accelerating, parallelising and scaling up algorithms, and transitioning code to high performance computing (HPC) and/or cloud services.

Successful SIH Project Scheme applicants are awarded up to 12 full time equivalent (FTE) weeks of data analysis and support for research projects (in-kind value of up to $33,600).

The SIH Project Scheme, Round 1, 2021 awarded 12 projects with in-kind support in machine learning, analytics, predictive modelling, high performance computing, bioinformatics, statistics and survey development across the Business School, Faculty of Medicine and Health, Faculty of Science, Faculty of Arts and Social Sciences and Faculty of Engineering and Information Technologies. The success rate for the SIH Project Scheme, 2021 Round 1 was 41%.

Round 2, 2021 applications are now open and will close Friday 23rd of April.

SIH support for projects awarded through this scheme would commence between 1 May 2021 - 31 July 2021.

To apply for the SIH Project Scheme 2021 Round 2, please complete this form.

For assistance with preparing your application or for further enquiries contact: sih.info@sydney.edu.au

The Sydney Informatics Hub (SIH) 2021 HPC Allocation Scheme provides University of Sydney researchers access to time on the NCI Gadi supercomputer, the largest National HPC facility in the Southern Hemisphere. A total of 8 million service units (MSU) are available per quarter for 2021 through this scheme and will be allocated according to project merit and on a reasonable fair-share basis. 

Round 1 applications providing access to NCI Gadi between January 1 - June 30, 2021 have now closed. All 8 MSU were allocated to 16 research projects across Faculty of Engineering and Information Technologies, Faculty of Science and Faculty of Medicine and Health. Both experienced and new users of NCI Gadi were awarded. 

Round 2 (opening in May 2021) will provide access from July 1 - December 31, 2021. Application details are coming soon. Please email sih.info@sydney.edu.au for more information about the SIH HPC scheme, or our other schemes and services.

If your allocation has supported any research outcomes, please include the suggested acknowledgement:

The authors acknowledge the use of the National Computational Infrastructure (NCI) which is supported by the Australian Government, and accessed through the Sydney Informatics Hub HPC Allocation Scheme, which is supported by the Deputy Vice-Chancellor (Research), University of Sydney and the ARC LIEF, 2019: Smith, Muller, Thornber et al., Sustaining and strengthening merit-based access to National Computational Infrastructure (LE190100021).

The Core Research Facilities User Access Scheme has been developed to invest in, and drive research excellence across the University by providing small grants to support user access to the facilities.

This scheme provides University of Sydney researchers up to two Full Time Equivalent (FTE) weeks of data and data analysis support from the Sydney Informatics Hub towards their project.

For detailed information, please refer to our guidelines.

To apply for the Core Facilities User Access Scheme, click here.