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Machines Learning Scientist

2 weeks ago

Adelaide, South Australia beBeeMachineLearning Full time $114,917 - $135,932
Postdoctoral Research Fellow

The Australian Institute for Machine Learning is seeking motivated and experienced Postdoctoral Research Fellows to undertake fundamental machine learning research. The successful candidate will be part of a world-class, outcome-based research centre within a 'Group of Eight' University.

Key Responsibilities:
  • Conduct fundamental machine learning research for projects aligned to one or more of the following themes: Tackling misinformation, Safe AI in the Real world, Diverse AI, or AI that can explain its actions working on causal AI for a changing world.
  • Develop and apply novel machine learning techniques to address fundamental problems in responsible AI.
  • Contribute to the development of new ideas, theories, and methods in machine learning and artificial intelligence.
Requirements:
  • A PhD in Computer Science, Engineering or other Machine Learning-related field.
  • Programming experience in Python, C++ or other relevant language and expertise in deep neural networks.
  • Strong mathematical capability, especially for Theme 1, with applicants holding an undergraduate or postgraduate degree in mathematics encouraged to apply.
  • Experience and demonstrable knowledge in deep learning and one or more of the following: transformer networks, implicit neural functions, graph neural networks and/or probabilistic graphical models; and causal inference.
  • An outstanding publication record in top-tier machine learning and/or computer vision conferences or journals, commensurate with experience and opportunity.
  • A strong work ethic, and the ability to work well independently, and as a member of a broader team, including with industrial, educational and community partners.
  • Fluency in written and spoken English, with the ability to communicate scientific ideas to an expert audience.
  • Commitment to the principles of equity, diversity and inclusion, with applications from traditionally under-represented groups within the Responsible AI community encouraged to apply.