Research Associate: AI Materials & Resource Systems

UNSW; Canberra; On-site; AUD 118,000 - 127,000; Full time

Benefits offered by this job

17% superannuation

Job summary

UNSW in Sydney invites applications for a Research Associate to investigate the mineral demand implications of scaling artificial intelligence hardware. You will develop scenarios to examine mineral requirements for AI technologies and assess geological constraints affecting supply.

You will apply methods such as material flow analysis and industrial ecology to understand the environmental and resource implications of AI expansion, publish findings, and collaborate with partners while assisting

Qualifications

• PhD in a related discipline, and/or relevant work experience.
• Commitment to proactively keeping up to date with discipline knowledge and developments.
• Demonstrated ability to undertake high-quality academic research and conduct independent research with limited supervision.
• Demonstrated track record of publications and conference presentations relative to opportunity.
• Demonstrated ability to work in a team, collaborate across disciplines and build effective relationships.
• Evidence of highly developed interpersonal skills.
• Demonstrated ability to communicate and interact with a diverse range of stakeholders and students.
• An understanding of and commitment to UNSW’s aims, objectives and values in action, together with relevant policies and guidelines.
• Knowledge of health and safety responsibilities and commitment to attending relevant health and safety training.

Responsibilities

• Investigate mineral demand implications of scaling AI hardware.
• Develop scenarios and analyze mineral requirements of AI technologies.
• Apply material flow analysis and industrial ecology methods.
• Collaborate with stakeholders and research partners.
• Assist with supervision of research students where required.

Skills

Strong research skills

Excellent written & verbal communicate

Team collaboration

Stakeholder engagement

Interpersonal skills

Health and safety awareness

Education

PhD in a related discipline

Job description

UNSW in Sydney invites applications for a Research Associate to investigate the mineral demand implications of scaling artificial intelligence hardware. You will develop scenarios to examine mineral requirements for AI technologies and assess geological constraints affecting supply.

You will apply methods such as material flow analysis and industrial ecology to understand the environmental and resource implications of AI expansion, publish findings, and collaborate with partners while assisting