Key Responsibilities:
- Conduct structured horizon-scanning for novel AI-enabled hazard classes.
- Investigate next-generation detection sciences.
- Pursue feasibility analyses on deep resilience and lifeline capacities.
Required Qualifications:
- Advanced degree (PhD or >1 MS preferred) in a hard-science or engineering discipline.
- Substantive familiarity with adversarial environments and adversarial reasoning, broadly construed.
- Demonstrated ability to reason carefully about hazards that lack robust historical data.
Pluses:
- Interdisciplinary credentials bridging two or more of: biology, chemistry, physics, engineering, computer science, ecology, or public health
- Direct experience in biosurveillance, civil defense or emergency preparedness, food security, environmental monitoring, geoengineering analysis, biosafety, or critical infrastructure protection
- Background in scientific metaresearch, evidence synthesis, horizon scanning, structured expert elicitation, or foresight methodologies
CARMA
The Center for AI Risk Management & Alignment (CARMA) works to help society navigate the complex and potentially catastrophic risks arising from increasingly powerful AI systems. They focus on grounding AI risk management in rigorous analysis, developing policy frameworks that squarely address AGI, advancing technical safety approaches, and fostering global perspectives on durable safety.