The Ambassador Advisory Network is a forum for Ambassadors to aid the Consortium through the following actions:
Tier 1 Consortium Members will be prioritised for inclusion on Consortium led contracts including grant submissions.
Tier 1 Consortium Members will be allowed to host events at Consortium events and the Consortium will promote such events to attendees and in event marketing material.
FABRIC is a unique national research infrastructure to enable cutting-edge and exploratory research at-scale in networking, cybersecurity, distributed computing and storage systems, machine learning, and science applications. It is an everywhere programmable nationwide instrument comprised of novel extensible network elements equipped with large amounts of compute and storage, interconnected by high speed, dedicated optical links. It will connect a number of specialised testbeds (5G/IoT PAWR, NSF Clouds) and high-performance computing facilities to create a rich fabric for a wide variety of experimental activities.
It is the intention to connect the Cirrus HPC platform to the FABRIC testbed and establish the “hank” node for Africa. Additional information on FABRIC is available at: https://fabric-testbed.net
Open Storage Network (OSN) is a distributed data storage service providing petabytes of shared, easily accessible storage to support active data sharing and transfer between academic institutions, communities and projects, leveraging existing infrastructure. OSN facilitates scientific and scholarly research by improving data access and the re-use of high-value, high-impact datasets capable to accelerating discovery and generating synergies across new and existing science projects.
Cirrus intends to host an OSN pod. These pods are petabyte-sized distributed storage units with minimal administrative overhead, capable of high-throughput, high-speed large volume data transfers. Additional information on OSN is available at: https://www.openstoragenetwork.org/
Cirrus engineering teams utilising the Cirrus infrastructure will work together with university to support cutting edge research. This includes:
Cirrus will establish a state-of-the-art HPC platform. This platform will be utilised for modelling efforts requiring substantial computing resources and is designed to support ground-breaking research in AI. The Cirrus computing platform will be developed in close collaboration with hardware and software providers resulting in a platform that provides cutting edge performance, reduces energy consumption and improves energy efficiency.
Cirrus will establish a sandbox environment. The sandbox environment will be utilised to train and test models too large for a conventional desktop or laptop and not large enough to warrant deployment on the Cirrus High Performance Computing (HPC) platform. The sandbox environment will also be used to prototype scaled down versions of models prior to running on the Cirrus HPC platform.
Digital assets consist of reusable software components and workflows that have been designed and validated.
They are designed for use in similar applications while being flexible enough to be adapted to address new applications in the future. The digital assets will be available to access through various options including:
The Research to Communication (RtC) program is a program to assist researchers in ensuring research is clearly and concisely conveyed to a broad audience. Such communication skills are of vital importance and Cirrus will therefore offer programs to researchers that provide assistance and coaching to enhance their presentation skills in communicating the results of their work.
The Academic programs are intended to substantially improve undergraduate, graduate and post-graduate student opportunities through the following:
The 12-month program will be similar to spending a year in a Masters or PhD program in machine learning. Residents will read papers, work on research projects, and will be encouraged to publish their work. By the end of the program, residents will have significant research experience in machine learning. Residents will have the opportunity to be mentored by scientists and engineers from various teams within Cirrus and will work on real world machine learning problems and applications. In addition, they will have the opportunity to collaborate and partner closely with various research and applied groups across Cirrus. Typical candidates will have a BS, MS or PhD or equivalent experience in STEM field such as Computer Science, Mathematics, Statistics, Physics, Engineering or Materials Science. However, applications will not be restricted to these fields, as the interest is in individuals who are motivated to learn and have a strong interest and passion for machine learning.
In this 5-month program interns will collaborate with scientists and engineers to design, implement and evaluate machine learning algorithms and techniques. Interns will engage in team collaborations to meet research goals, report and present research findings and developments. Interns will bridge the gap between research and products by integrating new fundamental research into applied projects and identifying interesting real world problems to research. This program will be targeted at interns that are studying towards a PhD in machine learning or a related field and are in their penultimate or final year of study.
The 12-month program is for graduating PhD students, ideally suited for those wanting to become leaders in the field. The program provides the opportunity to participate in cutting-edge, multidisciplinary research, both theoretical and applied, providing the necessary expertise prior to moving into industry or a faculty position.
The post holder will have considerable freedom to pursue novel research projects within Cirrus areas of interest, either individually or in collaboration with team members. There is also the opportunity to have research outcomes realised in new products and services through the Cirrus FOUNDRY.
The postdoctoral position provides the opportunity to:
Postdocs will have a PhD in a relevant discipline and the ability to contribute at the leading edge of research, or in its application.
The duration of the Assistantship program will vary depending on the requirement. It is designed to combine specialised technical skills with research experience in order to enable innovative research. The Assistantship program will therefore provide the capability to support projects where specialised analysis, visualisation, or development skills will enhance a project or are required for its success.
The Assistantship position provides the opportunity to:
The duration of this program is based on continued business need, availability of funding, and satisfactory job performance. Assignments may include: