Research Associate in Materiality of Artificial Intelligence
Core
Investigate mineral demand implications of scaling AI hardware through scenario development, material flow analysis, and industrial ecology to assess environmental and resource constraints.
Role type
Research Associate (Academic)
Builds
Scholarly publications and research outcomes on AI hardware mineral requirements
Domain
Mining engineering, industrial ecology, artificial intelligence hardware supply chains
Deliverable
research
Required skills
material flow analysis, industrial ecology, scenario development, independent research, academic writing, stakeholder engagement
Preferred skills
PhD in related discipline, experience with circular economy concepts, conference presentation experience
Technologies
N/A
Responsibilities
Conduct independent research on mineral requirements of AI technologies, apply material flow analysis and industrial ecology methods, contribute to scholarly publications, engage with stakeholders and research partners, assist with supervision of research students
Seniority
Mid-level, independent researcher