AI Offense-Defense Research Lead

New

Skills

Communication Computer science Researcher Risk Assessment Risk Management Security

The Center for AI Risk Management & Alignment (CARMA) is seeking a dynamic AI Offense-Defense Dynamics Lead Researcher to drive groundbreaking research on the dual-use nature of advanced AI technologies. As AI capabilities continue to evolve, this fully remote role offers an exciting opportunity to shape how society anticipates, evaluates, and manages the risks and protective benefits of AI systems. You will develop innovative frameworks and actionable insights, directly informing developers, policymakers, standards bodies, and the public on AI safety and governance. Join us in our mission to lower catastrophic AI risks and support global efforts to maximize the benefits of transformative AI.

Key Responsibilities
  • Develop quantitative system dynamics models to analyze technological, social, and institutional influences on AI risk.
  • Design analytical models and simulations to identify leverage points for safer offense-defense balances in AI applications.
  • Expand and operationalize frameworks and taxonomies to predict whether AI features favor offensive or defensive use.
  • Validate research with empirical case studies and documented incidents of AI misuse and beneficial deployment.
  • Communicate research findings through publications, talks, and media to build public understanding and inform key stakeholders.
Required Skills & Qualifications
  • M.Sc. or higher in Computer Science, Cybersecurity, Criminology, Security Studies, AI Policy, Risk Management, or related field.
  • Experience in systems modeling, risk assessment, or security analysis within dual-use or advanced technology domains.
  • Strong grasp of modern AI systems, including large language models, multimodal models, and autonomous agents.
  • Proven ability to develop both quantitative models and qualitative frameworks capturing complex sociotechnical interactions.
  • Exceptional analytical and critical thinking skills, with expertise in identifying feedback loops and dependencies in complex systems.

Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: 12 Months

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