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Post-Doctoral Research Associates (Level B/C) in the Australian Institute for Machine Learning

Apply now Job no: 499168
Work type: Fixed term - Full-time
Location: Adelaide
Categories: Faculty of Engineering, Computer & Mathematical Sciences, Level B, Level C

  • Develop new machine learning theory in partnership with external organisations
  • Wide range of employee benefits
  • Work with the best in the field to deliver on exciting software projects using the latest machine learning tech

After deep learning, what will be the next ‘Big Thing’?

We are seeking Post-Doctoral Research Associates to join the world-class team at the Australian Institute of Machine Learning (AIML) to forge new ground in artificial intelligence. 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 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. This research project will develop 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 AIML is ranked 3rd in the world in the number of publications at the top computer vision conferences over the last decade (, ranked first in Cityscapes, and boasts a team involved in working with Microsoft and Stanford to win the VQA 2.0 Challenge, amongst a host of other achievements.

Researchers will work with Prof. Anton van den Hengel and his team, and will join a large group of world-class researchers publishing in the best venues in the field.

Responsibilities include: developing, implementing and testing robust machine learning and computer vision algorithms for next-gen AI, publishing in conferences and journals, liaising with industry partners and giving presentations

Position Requirements:

Successful applicants should have experience in one or more of the following areas:

• Vision-and-language technology including Visual Question Answering
• Meta-learning
• Memory-augmented networks or Neural Turing Machines
• Deep reinforcement learning
• Generative and explainable models
• Deep learning in general

Each successful applicant must have:

• 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

Applicants must be eligible to hold and maintain CoA NV1 clearance.

Salary: (Level B) AU$96,135 – AU$113,788 or (Level C) AU$117,310 – AU$134,966, plus 9.5% superannuation. Positions are available at both levels and the total salary package offered will depend on qualifications and experience. Some funding for relocation may be available. The AIML has a generous conference attendance funding scheme for papers accepted at the major conferences.

Term of position/s: These 2 year-fixed term contract positions are available immediately with the possibility of further extension subject to available funding and performance.

Please address and upload your responses to the selection criteria within the online application and include a full CV (including a publication list and statement of research expertise and interests) and the names of two referees (including your PhD thesis supervisor). If you have any queries regarding this position, please contact Ian Will, telephone: 8313 6176 or email: for further information.

Please note if the selection criteria link is not appearing, you will need to view on another device.

Closing date: 11.55pm, 5 October 2018

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


Download the Position Description

Advertised: Cen. Australia Standard Time
Applications close: Cen. Australia Standard Time

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