Cohere is focused on training and deploying frontier AI models to serve developers and enterprises, with a mission to scale intelligence for humanity. The company is addressing the urgent need for rigorous research on the societal implications of AI, particularly in areas like productivity, inequality, and the future of work.
Requirements
- PhD (or be an advanced PhD candidate) in Economics, Political Economy, Public Policy, or a closely related field.
- Strong training in economic theory, econometrics, or applied micro/macroeconomics.
- Demonstrated research interest in technology, innovation, labor, growth, or institutions.
- Publication record (or pipeline) in peer-reviewed academic venues.
- Interest in engaging seriously with AI systems and their real-world deployment.
- Desire to collaborate across disciplines while retaining intellectual independence.
- Interest in studying AI as a general-purpose technology.
Responsibilities
- Conduct rigorous, theory-informed, and empirically grounded research on the implications of AI for productivity, inequality, skills, organizational design, and the future of work.
- Maintain scholarly independence and pursue publication-oriented research.
- Engage deeply with frontier AI systems.
- Study AI as a general-purpose technology, not just a tool.
- Connect theory to emerging empirical realities.
- Collaborate across disciplines while retaining intellectual independence.
- Contribute to conversations at the intersection of academia, industry, and policy.
Other
- Full-time commitment for 12 months, with the possibility of extension.
- Flexible / Remote work location.
- Advanced PhD candidate or early-career researcher status.
- Interest in shaping conversations at the intersection of academia, industry, and policy.
- Commitment to open science, collaborative research cultures, and mentorship.
