Research Scientist

1 week ago

Adelaide, South Australia beBeeMachine Full time $114,917 - $135,932
Machine Learning Research Opportunity

Join a world-class research centre at the University of Adelaide to undertake fundamental machine learning research for projects aligned to one of more of the following themes:

Research Themes
  • Tackling misinformation, working on attribution and integrity for generative AI.
  • Safe AI in the Real world, working on foundational reasoning for tool use and physical interactions.
  • Diverse AI, working on AI systems for safety and diversity.
  • AI that can explain its actions working on causal AI for a changing world.

Our team is seeking motivated and experienced postdoctoral researchers with expertise in machine learning, computer vision and related fields. To be successful, you will need:

Requirements
  • A PhD in Computer Science, Engineering or other Machine Learning-related field.
  • Programming experience in python, C++ or other relevant language and experience in deep neural networks.
  • Strong mathematical capability, especially for Theme 1, with applicants holding an undergraduate or postgraduate degree in mathematics strongly encouraged to apply.
  • Experience and demonstratable 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 an 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, as well as those who may have experienced more unusual educational and/or career pathway, prior to completing their PhD.

The Faculty of Sciences, Engineering and Technology is a multidisciplinary hub of cutting-edge teaching and research. We offer a uniquely rewarding workplace, with vast scope and opportunity for a long, fulfilling career. Our culture is one that welcomes all and embraces diversity consistent with 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.

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