Requirements
- MS or PhD in cognitive psychology, human factors/HCI, AI/computer science (with human–AI focus), systems engineering, psychology/IO or related field.
- Demonstrated expertise in the science of human cognition, team dynamics, trust in automation, human–AI interaction, and applied behavioral science.
- Strong quantitative modeling and statistical analysis background, including experimental design, regression modeling (linear, generalized, mixed-effects), multivariate analysis, psychometric modeling, and simulation (e.g., Monte Carlo methods).
- Proficiency in Python and/or R for data analysis, modeling, simulation, visualization, and development of reproducible analytic workflows.
- Experience developing custom metrics, indices, and analytic pipelines to operationalize complex behavioral, organizational, or team constructs using real-world, imperfect data.
- Experience designing and executing human-subject experiments and analyzing performance data.
- Experience leading technical tasks or serving as technical lead or deputy PI on government-funded programs.
- Strong written and verbal communication skills, including proposal and customer-facing technical work.
- Proven ability to translate quantitative results into clear, actionable insights for technical teams, behavioral scientists, and non-technical stakeholders, serving as a bridge between disciplines.
- Ability to manage and coordinate multidisciplinary technical teams.
- Ability to obtain and maintain a security clearance; familiarity with DoW research environments preferred.
Additional Information
- Ability to obtain and maintain a security clearance; familiarity with DoW research environments preferred.
