Future of Life Organizations - AI Offense-Defense Dynamics Lead Researcher
Requirements
• A M.Sc. or higher in either Computer Science, Cybersecurity, Criminology, Security Studies, AI Policy, Risk Management, or a related field • Demonstrated experience with complex systems modeling, risk assessment methodologies, or security analysis • Strong understanding of dual-use technologies and the factors that influence whether capabilities favor offensive or defensive applications • Deep understanding of modern AI systems, including large language models, multimodal models, and autonomous agents, with ability to analyze their technical architectures and capability profiles • Experience in any of the following: Security mindset, Security studies research, Cybersecurity, Safety engineering, AI governance, Operational risk management, Systems dynamics modeling, Network theory, Complexity science, Adversarial analysis, or Technical standards development • Ability to develop both qualitative frameworks and quantitative models that capture sociotechnical interactions, and comfort creating semi-quantitative semi-empirical models also grounded in logic • Record of relevant publications or research contributions related to technology risk, governance, or security • Exceptional analytical thinking with ability to identify non-obvious path dependencies and feedback loops in complex systems • PhD in a relevant field • Experience with system dynamics modeling, hypergraph techniques, or other complex network analysis methods • Skills in developing interactive tools or dashboards for risk visualization and communication • Background in interdisciplinary research bridging technical and social science domains • Demonstrated aptitude in top-down techniques and first-principles thinking • Experience with the quantification of qualitative risk factors or developing proxy metrics for complex phenomena • Background in compiling and analyzing incident databases or case studies for pattern recognition • Familiarity with empirical approaches to technology assessment and impact prediction • Knowledge of international relations theory as it applies to technology proliferation dynamics
Responsibilities
• Develop quantitative system dynamics models capturing the interrelationships between technological, social, and institutional factors that influence AI risk landscapes • Design detailed analytical models and simulations to identify critical leverage points where policy interventions could shift offense-defense balances toward safer outcomes • Expand and operationalize our current offense/defense dynamics taxonomy and nascent framework, developing metrics and models to predict whether specific AI system features favor offensive or defensive applications • Build empirically-informed analytical frameworks using documented cases of AI misuse and beneficial deployed uses to validate theoretical models • Research how specific technical characteristics (capabilities breadth/depth, accessibility, adaptability, etc.) interact with sociotechnical contexts to determine offense-defense balances • Build public understanding of offense-defense dynamics through blog posts, articles, conference talks, and media engagement • Create tools and methodologies to assess new AI models upon release for their likely offense-defense implications • Draft evidence-based guidance for AI governance that accounts for complex interdependencies between technological capabilities and deployment contexts • Translate research findings into actionable guidance for key stakeholders including policymakers, AI developers, security professionals, and standards organizations • $125,000 - $200,000 a year
Apply in one click
Upload My Resume
Drop here or click to browse · Tap to choose · PDF, DOCX, DOC, RTF, TXT