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:
- As a service.
- Software licensing.
- Collaborative R&D projects.
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.
PhD Internship program
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:
- Gain research experience with expert guidance in a multidisciplinary setting.
- Earn authorship credit.
- Participate in the Open Learning program, salons, teatime sessions, in person Summer and Winter programs, seminars, lectures, and conferences.
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:
- Consult and provide assistance to researchers in addressing a wide range of data challenges.
- Develop and deliver training for students, faculty, and staff (to be included in the Open Learning Program).
- Collaborate with researchers on projects requiring machine learning, data engineering, data visualisation, programming and computational skills.
The duration of this program is based on continued business need, availability of funding, and satisfactory job performance. Assignments may include:
- Community and events coordinator
- Graphic design
Salons and teatime sessions are open gatherings for the exchange of knowledge and ideas intended to facilitate the growth and development of a vibrant AI community.
Inspired by the enlightenment-era salons, the monthly salon will provide an opportunity to bring all Cirrus participants together in a face-to-face exchange of ideas through conversation, devoid of modern entanglements such as PowerPoint presentations and time constraints.
Teatime sessions will be organised on a weekly basis as talks/presentations/show-and-tell on various topics pertaining to AI. All material from the session will be made available online.
These in person one-week and two-week programs are intended for faculty, graduate students, post-doctoral fellows, professionals, and others who would like to gain an understanding for their respective fields, new research directions, and industry applications.
The Open Learning program is to ensure all material originating from Cirrus and used in the teaching of Cirrus internal courses will be made freely available, including through the web.
The Co-development program is a collaborative program spanning academia and industry focusing on the co-development of Cirrus related infrastructure.
This includes collaboration with hardware and software providers to support integrated solutions that amongst other things, improve performance, reduce energy consumption and improve energy efficiency.
The Affiliate program will enable corporate entities to interact with Cirrus and take advantage of a variety of programs and activities. The Partner program supports close engagement with a small number of corporate entities and is focused on active research collaboration.
The Affiliate program will enable corporate entities to interact with Cirrus and take advantage of a variety of programs and activities including:
- Website and publication exposure.
- Annual orientation covering all the Cirrus resources, activities and programs.
- Insight into research and projects being undertaken in the academic programs and ability to engage with faculty and students.
- Invitations to lectures and workshops.
- Direct interaction with students and student groups for recruitment and ability to host recruiting events such as tech talks and roundtables.
- Connection to university recruiting focused departments.
- Discounts on in person Summer and Winter programs.
- Engagement with the Cirrus FOUNDRY start-ups providing insight into transformative new technologies and business opportunities.
- Networking events and the opportunity to connect with leaders from other top universities, companies and start-ups from around the world.
- Ability of the Affiliate to leverage the sponsorship in terms of publicity.
The Partner program supports close engagement with a small number of corporate entities and is focused on active research collaboration. Partnerships under the Partner program are tailored to ensure mutual benefit and include all the benefits of the Affiliate program, with the addition of:
- Insight and access to research and technology prior to public release.
- Access to the Pitch, a networking event where the Cirrus FOUNDRY start-ups present to Partners.
- Workshops to explore joint research opportunities.
- Hosting of Partner data for research projects including training systems and deriving insights.
- Targeted support for student researchers and research projects.
- Participation in seed-funded projects.
- Placement for visiting fellow.
- Company day at Cirrus.
The Global Collaboration Network is responsible for proactively developing and managing substantive collaborative relationships covering all that the Cirrus has to offer, from research and talent to start-up development.
As the collaboration efforts are focused on solving real world problems, relationships with industry are essential to ensure that faculty and students are engaged in relevant work. These complementary relationships benefit the corporate participants, universities and broader society through development of talent, knowledge and application.