Research Scientist, Post-AGI Research

We are seeking a Research Scientist to understand the space of possibilities for technical AI progress in a post-AGI world. Key responsibilities include defining and formalizing critical research questions, developing theoretical understanding, designing and conducting experiments to tackle foundational uncertainties, collaborating with interdisciplinary and cross-functional teams, as well as disseminating results and creating insights across the organization.

Key responsibilities

• Spearhead foundational research projects exploring how AI technology and capabilities might develop in a post-AGI world.
• Formalize sharp research questions, conduct theoretical analysis, and develop mathematical models. Identify inflection points and mechanisms that have major influence on the technological trajectory.
• Design and conduct experiments with today’s systems and technology to help anticipate and forecast future developments and trajectories.
• Engage in collaborative efforts with cross-functional teams, including our interdisciplinary post-AGI research team, external partners, and the wider scientific community, to drive understanding and foster scientifically grounded discourse.
• Lay pioneering groundwork and dive deep into research at the frontier of today’s understanding of AI and beyond.
• Engage with the broader socioeconomic impacts of AI progress, and help build and deploy technology responsibly and with care. 

• A PhD degree in one of the following areas: computer science, mathematics, physics, cybernetics, or neuroscience.
• Proven track record of formalizing challenging problems, theoretical analysis and modeling, and forward-looking empirical projects.
• Expertise in one or more focus areas (Universal AI / AIXI, Information theory, Bayesian statistics, multi-agent systems, scaling laws, benchmarking frontier AI, developing forecasting models).
• A strong track record of publication on AI related topics.
• The ability to identify core research questions that are tractable and impactful.
• Strong interest in developing AI responsibly and with foresight.
• Great communication and interpersonal skills.
• Interest in critically reflecting and challenging conventional beliefs.

• Experience with researching the wider impacts of AI, particularly w.r.t. socioeconomic questions.
• Cross-functional and interdisciplinary collaboration experience.
• Effectively communicating findings to diverse audiences.