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Chief AI Researcher
3 weeks ago
As part of our esteemed research centre within a renowned 'Group of Eight' University, you will embark on an exciting journey to advance leading research and development in AI. This prestigious opportunity enables you to contribute significantly to cutting-edge projects while being part of a vibrant academic community.
The Responsible AI Research (RAIR) Centre aims to leverage its expertise to focus on the development of cross-cutting responsible AI research and address fundamental responsible AI problems at a sufficient scale for national and international impact.
You will undertake pioneering machine learning research for projects aligned to one of more of the following themes:
- Tackling misinformation by working on attribution and integrity for generative AI.
- Safe AI in the Real world, focusing on foundational reasoning for tool use and physical interactions.
- Diverse AI, developing AI systems for safety and diversity.
- AI that can explain its actions by working on causal AI for a changing world.
To succeed in this role, you must have:
Essential Qualifications and Skills- A PhD in Computer Science, Engineering or other Machine Learning-related field.
- Programming experience in Python, C++ or other relevant languages, with 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, with the ability to work well independently and as part 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, as well as those who may have experienced more unusual educational and/or career pathways prior to completing their PhD.
