Requirements

• PhD or equivalent advanced experience in a relevant technical, quantitative, or social-scientific field or equivalent practical research experience.
• 3 years of experience initiating, scoping, and executing independent research agendas or leading academic projects.

Nice to haves

• Experience in judgmental forecasting, statistical modeling, or building automated AI forecasting tools.
• Published research, policy reports, or executive briefings on AI forecasting, AI governance, or AI geopolitics.
• Deep understanding of AGI development and its technical, geopolitical, and societal implications.
• Track record of research on the future trajectory of AI or its impacts.
• Strong quantitative, qualitative, or technical methods applied to questions about technological trajectories, governance, or strategic risk.
• Demonstrated ability to build new, high-impact programs in complex organisations, build trust with technical researchers, subject-matter experts, and executive leadership.

What you'll be doing

• Envision, build, and lead DeepMind Institute's frontier AI forecasting and strategic foresight program, combining rigorous analysis with program execution.
• Identify the strategic and governance questions DeepMind leadership will face, and frame them early enough for analysis to shape the answer.
• Forecast capability trajectories, recursive self-improvement, and their governance and geopolitical implications, using judgmental and statistical forecasting, scenario analysis, and comparative analysis, collaborating with Research and Development, safety, and external researchers.
• Translate findings into memos, briefings, and publications that inform the Frontier Safety Framework, executive strategy, and national security engagements.
• Build AI-assisted forecasting tools and external partnerships that scale the team's foresight capacity and contribute to the wider field.

Perks and benefits

• Opportunity to work at Google DeepMind, a pioneering AI lab focused on advancing AI for global benefit.
• Access to exceptional interdisciplinary teams and diverse learning opportunities.
• Varied career pathways driven by collective effort and innovation.
• Commitment to safety, ethics, and public benefit in AI development.