Research Associate in Materiality of Artificial Intelligence
About the role
The School of Minerals and Energy Resources Engineering has an opportunity for a Research Associate to investigate the mineral demand implications of scaling artificial intelligence hardware. Through scenario development, you will examine the mineral requirements of AI technologies and the geological constraints affecting mineral supply, while considering opportunities for resource efficiency and a circular economy. You will apply research methods such as material flow analysis and industrial ecology to contribute to a better understanding of the environmental and resource implications of the continued expansion of artificial intelligence. This position will provide you with the opportunity to further develop your research expertise while contributing to high-quality research outcomes. You will work independently and collaboratively, contribute to scholarly publications and research activities, engage with relevant stakeholders and research partners, participate in conferences and workshops, and assist with the supervision of research students where required. This role reports to Professor Saleem Ali and has no direct reports. The position is based in Kensington, Sydney, Australia, is a full-time appointment, and is a fixed-term contract for 6 months.
Responsibilities
- Examine the mineral requirements of AI technologies and the geological constraints affecting mineral supply.
- Consider opportunities for resource efficiency and a circular economy.
- Apply research methods such as material flow