
AI Research Specialist
5 days ago
The University of Adelaide is seeking a highly motivated and experienced Postdoctoral Research Fellow B to undertake fundamental machine learning research for projects aligned to one or more of the following themes:
- Tackling Misinformation: Work on attribution and integrity for generative AI.
- Safe AI in the Real World: Focus on foundational reasoning for tool use and physical interactions.
- Diverse AI: Develop AI systems for safety and diversity.
- Causal AI: Work on causal AI for a changing world.
To be successful, you will need:
- A PhD in Computer Science, Engineering, or other Machine Learning-related field.
- Programming experience in Python, C++, or other relevant languages and experience in deep neural networks.
- Strong mathematical capability, especially for Tackling Misinformation, with applicants holding an undergraduate or postgraduate degree in mathematics 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 unusual educational and/or career pathways prior to completing their PhD.
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