AI Offense-Defense Dynamics Lead

New

Skills

Communication Computer science Researcher Risk Management Security

As AI capabilities rapidly evolve, CARMA seeks a Lead Researcher to decode the complex offense-defense dynamics in advanced AI systems. In this fully remote role, you will spearhead research using interdisciplinary methods to analyze how AI technologies impact societal safety and risk. Your work will shape global approaches to AI governance, providing actionable insights for developers, policymakers, and standards bodies to maximize AI benefits and minimize risks.

Job Overview

You will develop and validate analytical frameworks and models that illuminate the interplay between technological, social, and institutional factors affecting AI risk. This position offers the opportunity to influence how society evaluates and governs transformative AI systems.

Key Responsibilities
  • Develop quantitative system dynamics models to map AI risk landscapes.
  • Design simulations to identify policy leverage points shifting offense-defense balances.
  • Expand and operationalize taxonomy and frameworks for offense-defense dynamics.
  • Validate theoretical models using documented AI misuse and beneficial cases.
  • Research interactions of technical AI characteristics and sociotechnical contexts.
  • Communicate findings via blogs, articles, conferences, and media.
  • Create tools for assessing AI models' offense-defense implications upon release.
  • Draft evidence-based guidance for AI governance and deployment.
  • Translate research into actionable recommendations for key stakeholders.
Required Skills & Qualifications
  • M.Sc. or higher in Computer Science, Cybersecurity, Security Studies, AI Policy, Risk Management, or related field.
  • Experience with complex systems modeling and risk assessment.
  • Strong understanding of dual-use technology and offense/defense factors.
  • Expertise in modern AI systems, including LLMs, multimodal models, and autonomous agents.
  • Background in security studies, cybersecurity, safety engineering, AI governance, or systems modeling.
  • Ability to develop both qualitative and quantitative sociotechnical models.
  • Relevant publications or research in technology risk or governance.
  • Exceptional analytical thinking and identification of complex feedback loops.
  • Eligibility to work as a U.S. employee or contractor; no visa sponsorship available.

Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: 12 Months

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