Industrial AI Research Fellow (D) - Australian Institute for Machine Learning

Industrial AI Research Fellow (D) - Australian Institute for Machine Learning

Job no: 514128

Work type: Continuing - Full-time

Campus: Adelaide

Categories: Level D, Faculty of Sciences, Engineering and Technology

Salary: (Level D) $162,460 to $178,700 per annum plus an employer contribution of 17% superannuation applies.

Position Type: Continuing Position – Full Time

The University of Adelaide and the State Government of South Australia have co-invested in the Australian Institute for Machine Learning (AIML) to appoint an academic research leader of international standing to join the AIML.

The successful candidate will be required to establish and build a dynamic research program in computer vision or machine learning. Their research outputs will have national and international impact, ensuring trans-disciplinary collaboration across the wider academic community and enhancing industry engagement both nationally and globally.

The position shall include a startup package, in line with funding/budget, to establish local research capabilities.

To be successful you will need:

• A PhD in the field of computer science or an equivalent qualification;
• A research track record of international distinction and sustained excellence in machine learning, computer vision or artificial intelligence, evidenced by recent high-quality research outputs and peer recognition;
• Demonstrated ability to develop research programs of scope and scale, supported by research funding;
• Demonstrated ability to forge meaningful external relationships with a diverse range of non-academic partners and industry;
• Demonstrated ability to attract and supervise postgraduate students, as evidenced by timely completions.

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.

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.

Your faculty's broader role

The Faculty of Sciences, Engineering and Technology is a multidisciplinary hub of cutting-edge teaching and research. Many of its academic staff are world leaders in their fields and graduates are highly regarded by employers. The Faculty actively partners with innovative industries to solve problems of global significance.

Application Process

If you have the talent, we'll give you the opportunity. Together, let's make history.

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 Role Statement Document.

Applications close 11:55pm, Monday 23 September 2024.

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

For further information

For a confidential discussion regarding this position, contact:

Professor Simon Lucey
Director
Australian Institute Machine Learning
E: simon.lucey@adelaide.edu.au

or

Dr Kathy Nicholson
Institute Manager
Australian Institute for Machine Learning
P: 08 8313 9258
E: kathy.nicholson@adelaide.edu.au

You'll find a full Role Description below: (If no links appear, please try viewing on another device)

The University of Adelaide is an Equal Employment Opportunity employer committed to providing a working environment that embraces and values diversity and inclusion. Female applicants, people with a disability and/or and Aboriginal and Torres Strait Islander people who meet the requirements of this position are strongly encouraged to apply. If you have any support or access requirements, we encourage you to advise us at time of application.

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Advertised: 21 Aug 2024 12:00 AM

Applications close: 23 Sep 2024 11:45 AM

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