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Australian Institute for Machine Learning Postdoctoral Research Fellow B job with UNIVERSITY OF ADELAIDE

(Level B) $100,933 – $119,391 per annum plus an employer contribution of up to 17% superannuation may apply.

Fixed term position for two years.

This exciting new role at the Australian Institute for Machine Learning (AIML) provides the opportunity to work with the world’s leading researchers in machine learning, artificial intelligence and computer vision. Building your career at AIML offers many rewards, including:

  • Attractive remuneration package including excellent employee benefits
  • Two-year fixed term contract available immediately.
  • Flexible working arrangements available including part time available.

This role will support novel development of machine learning algorithms for a radio frequency sensing and spectrum awareness application, and includes the development of deep learning models for recognition, domain adaptation and zero-shot learning.

The role consists of research, development and demonstration of near real-time autonomous spectrum surveillance aimed at delivering new capabilities in the interest of spectrum situational awareness. Under limited supervision, you will be working with a team of highly skilled professionals and subject experts in the field of Machine Learning and spectrum sensing. The ideal candidate will have a strong interest in transitioning new concepts to technology demonstrators, with a focus on Machine Learning for radio frequency applications.

AIML is Australia’s leading research institute in machine learning, artificial intelligence and computer vision. With world-leading researchers, modern facilities and an innovative culture, we’re committed to delivering research that is highly valued by our local and global communities. AIML is the largest computer vision and machine learning group in Australia with over 130 members including academics, research staff and students. The institute works on a mixture of fundamental and commercially oriented research projects in computer vision and machine learning, with a strong track record of publication in the top venues. The University’s Computer Vision research is amongst the best in the world. Find out more at Find out more information about working at AIML here

We welcome applications from candidates covering a range of career stages. Positions are available at Level B.

To be successful you will need:

  • Programming experience in Matlab, Python, C++ or other relevant language and experience in deep neural networks.
  • A strong work ethic, and the ability to work well independently, and as a member of a broader team, including with industrial partners.
  • To be either an Australian citizen holding or eligible to apply and maintain a Commonwealth of Australia NV1 security clearance, or a Canadian, USA, UK or NZ citizen with an equivalent security clearance from country of citizenship.
  • A PhD in Computer Science or Machine Learning.

The following will also be highly desirable:

  • A good publication record in top tier machine learning conferences or journals, commensurate with experience and opportunity.
  • Knowledge of signal processing and radio frequency concepts.

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-caliber 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 endeavor – provides a constant source of inspiration.

Our culture is one that welcomes all and embraces diversity consistent with our Staff Values ​​and Behavior 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.

The Faculty of SET aims to increase the diversity of its staff population and applications from women are particularly encouraged. To support our staff and students in their academic lives, the faculty celebrates diversity and has a range of programs available including:

  • A variety of flexible working arrangements.
  • Support to staff with caring responsibilities to participate in conferences, workshops, field trips and other approved work-related travel.
  • Research support schemes designed to support female academics to enhance and promote their careers.
  • Child care facilities.
  • Women’s professional development network opportunities.

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:

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.

Learn more at:

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

Click on the link below to view the selection criteria and to apply for this opportunity.

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 11:55 p.m., June 6, 2022.

For further information

For a confidential discussion regarding this position, contact:

Dr Kathy Nicholson
Australian Institute for Machine Learning
T: +61 (8) 8313 9258

The University of Adelaide is an Equal Employment Opportunity employer. Women and Aboriginal and Torres Strait Islander people who meet the requirements of this position are strongly encouraged to apply.


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