Systems Administrator- Australian Institute for Machine Learning

Updated: 27 days ago
Location: Adelaide, SOUTH AUSTRALIA
Job Type: FullTime
Deadline: 02 Apr 2024

Job no:513688
Work type:Fixed term - Full-time
Campus:Adelaide
Categories:Information and Communications Technology, HEO8


(HEO8) $106,561 - $119,550 per annum plus an employer contribution of 17% superannuation applies. A possible attraction loading may be negotiated with an outstanding candidate (as per the Remuneration and Employment Benefits Policy).

Offering a full-time, fixed term position for until 31st December 2025 from date of commencement, with possible extension.

Be part of a world class, outcome-based research institute within a 'Group of Eight’ University

We are seeking a Systems Administrator to be part of the Australian Institute for Machine Learning’s (AIML) award winning Industry Solutions team which develops machine learning algorithms, tests, delivers and maintains software systems and works with leaders in artificial intelligence. AIML is the largest computer vision and machine learning research group in Australia with around 200 members including academics, research staff, higher degree research students, and engineers. AIML works on a mixture of fundamental and commercially oriented research projects in computer vision and machine learning.

The systems administrator will be responsible for sourcing, setting up, and maintaining the complex and powerful computing resources required by the Institute’s researchers and engineers. This includes providing support and training for users, as well as professional documentation.

The role will be key to AIML’s ability to adapt to increased staff and student capacity, opportunities for efficiencies, and emerging technologies. For this reason, the systems administrator must drive continuous improvement in the systems, processes, and operations of computing resources. Paramount in this responsibility will be ensuring security and compliance in hardware and software use.

To be successful you will need:

  • Experience setting up and maintaining a cluster and workstations.
  • Demonstrated interest in understanding & implementing relevant emerging technological advances.
  • Demonstrated ability to manage competing priorities to meet deadlines.
  • Demonstrated ability to define policy and lead engagement with stakeholders.
  • Team player with strong interpersonal skills.
  • Strong communications skills: written and verbal with ability to write reports and technical documents describing projects.
  • Commitment to the principles of equity, diversity and inclusion.

Qualification:

  • Postgraduate qualifications or progress towards postgraduate qualifications and extensive experience in computer science or computer systems engineering; or
  • An equivalent combination of relevant experience and/or education/training.

Enjoy an outstanding career environment.

The University of Adelaide is a uniquely rewarding workplace. The size, breadth and quality of our education and research programs - including significant industry, government and community collaborations - offers you vast scope and opportunity for a long, fulfilling career.

It also enables us to attract high-calibre people in all facets of our operations, ensuring you will be surrounded by talented colleagues, many world-leading. Our work’s cutting-edge nature - not just in your own area, but across virtually the full spectrum of human endeavour - provides a constant source of inspiration.

Our culture is one that welcomes all and embraces diversity consistent with our Staff Values and Behaviour Framework and our Values of integrity, respect, collegiality, excellence and discovery. We firmly believe that our people are our most valuable asset, so we work to grow and diversify the skills, knowledge and capability of all our staff.

We embrace flexibility as a key principle to allow our people to manage the changing demands of work, personal and family life. Flexible working arrangements are on offer for all roles at the University.

In addition, we offer a wide range of attractive staff benefits. These include: salary packaging; flexible work arrangements; high-quality professional development programs and activities; and an on-campus health clinic, gym and other fitness facilities.

Learn more at: adelaide.edu.au/jobs

Your division’s broader role

The Division of Research and Innovation leads the University’s research strategic planning. It manages research, partnerships, prioritises investment in strategic initiatives, and responds to changes in the external environment.

Learn more at: adelaide.edu.au/research/about-us/

Your institute’s role

The AIML is the largest computer vision and machine learning research group in Australia. Based in Adelaide, it currently number more than 140 members including academics, research staff and students.  The group works on a variety of fundamental and commercially oriented research projects in computer vision and machine learning and has a very strong track record of publications in the top venues, and of successful technology transfer.

Learn more at: www.aiml.com.au

How to Apply

Click on the ‘Apply Now’ button to be taken through to the online application form. Please ensure you submit a cover letter, resume, and upload a document that includes your responses to all of the selection criteria for the position as contained in the position description or selection criteria document.

***Applications close 11:55pm, Tuesday 2nd April, 2024***

For further information

For a confidential discussion regarding this position, contact:


Dr Greg Ruthenbeck
Lead Machine Learning Engineer, AIML P: +61 (08) 8313 1150
E: [email protected]

***The University reserves the right to close this advertisement before the closing date if a suitable candidate is identified***

Download the Position Description Apply now



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