This position leads the design, execution, and analysis of a large paired human-subjects study that links AI biosecurity benchmark scores to performance on realistic biological protocol-design and troubleshooting tasks. The researcher reports to Associate Professor Stephen D. Turner and coordinates closely with co-investigators Tom Hartvigsen and Chirag Agarwal, and a laboratory partner. The role draws on study design, psychometric and statistical analysis, and management of participant data collection. The researcher will also contribute to a parallel machine unlearning effort, supporting measurement of how capability-mitigation methods affect both benchmark scores and real-world task performance.
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Job Type
Full-time
Career Level
Entry Level
Education Level
Ph.D. or professional degree