Grant-Funded Researcher C, Australian Institute of Machine Learning

Location
Adelaide, Australia
Posted
29 Nov 2018
End of advertisement period
27 Dec 2018
Ref
499535
Contract Type
Fixed Term
Hours
Full Time

(Level B) $96,135 – $113,788 or (Level C) $117,310 – $134,966 per annum, plus an employer contribution of 9.5% superannuation will apply.

This is a 2 year-fixed term contract position available immediately with the possibility of further extension subject to available funding and performance. 

Post- doctoral research associate in machine learning and computer vision working in the Australian Institute of Machine Learning (AIML) developing new machine learning theory in partnership with organisations such as Lockheed Martin Australia’s STELaRLab and Defence Science Technology Group to address core problems in the field.

The successful applicants will be developing cutting-edge algorithms that combine statistical machine learning with symbolic and logical reasoning to adapt to new domains and data sources with few or no training examples.  This is an opportunity to work with world-leading researchers in computer vision and machine learning and be at the forefront of developments in AI. The successful applicants will work with Prof. Anton van den Hengel and his team, and will join a large group of world-class researchers.

The recently formed Australian Institute for Machine Learning at The University of Adelaide is the largest computer vision and machine learning group in Australia, with over 110 members including academics, research staff and students. AIML’s interdisciplinary approach to research focuses on a mixture of fundamental and commercially oriented research projects in computer vision and machine learning. 

Applicants must be Australian Citizens and eligible to apply for, hold and maintain a Commonwealth of Australia NV1 security clearance.

To be successful you will need:

  • A PhD in a relevant discipline (Computer Vision or Machine Learning)
  • Programming experience in Matlab, Python, C++ or other relevant language
  • A good publication record, commensurate with experience
  • The ability to work individually and as a member of a broader team
  • Fluency in written and spoken English, with an ability to communicate scientific ideas to an expert audience

In addition of the above, for Level C, you will also have:

  • An established track record of publications in top-tier Computer Vision, Robotics or Artificial Intelligence conferences and/or journals, commensurate with experience and opportunity
  • Experience in leading a small team

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. And out 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 core values are honesty, respect, fairness, discovery and excellence. And our culture is one that welcomes all and embraces diversity, We are firm believers that our people are our most valuable asset, so we work to grow and diversify the skills of our staff.

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 faculty's broader role

The Faculty of Engineering, Computer and Mathematical Sciences is a thriving centre of learning, teaching and research in a vast range of engineering disciplines, computer science - including machine learning - and high-level mathematics. Many of its academic staff are work leaders in their fields and graduates are highly regarded by employers.

Learn more at: ecms.adelaide.edu.au

If you want to change tomorrow, act today

Click the link to the online application form below and address and upload your responses to all selection criteria. Application close 11:55pm (ACST), 27 December 2018.

For further information

For a confidential discussion regarding this position, contact:

Mr Ian Will
Operations Manager, AIML
P: +61 (08) 8313 6176
E: aiml@adelaide.edu.au

To obtain a copy of the selection criteria, please visit the University of Adelaide Job opportunities page at: http://careers.adelaide.edu.au/cw/en/job/499535/grantfunded-researcher-c-australian-institute-of-machine-learning

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.