Scientist IV - Applied Risk & Decision Psychologist
Listed on 2026-06-27
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Research/Development
Research Scientist, Data Scientist
NSF | NCAR/UCAR/UCP is excited to announce the job opening for a part‑time, term position (0.4 FTE for < 6 months) for the Mesoscale and Microscale Meteorology (MMM) Scientist IV (Applied Risk & Decision Psychologist) role. This position will join the Weather Risk Analysis and Decision‑making (WRAD) research group, which works to improve weather predictions and reduce weather‑related negative impacts through research to understand and improve hazardous weather risk communication, risk perceptions, and decision‑making.
Responsibilities- Conduct advanced statistical analysis with longitudinal panel survey data to develop understanding about the dynamics of public risk perception pertaining to hurricanes and atmospheric rivers. Analyses will include growth modeling of different risk perception variables, contemporaneous and time‑lagged relationships between risk perception and antecedent and outcome variables, and differences in relationships based on population characteristics.
- Conduct advanced statistical analyses with cross‑sectional survey data to develop understanding about public perceptions of evolving winter weather forecasts, including deterministic and probabilistic forecast information.
- Advance empirical, theoretical, and methodological knowledge pertaining to risk perception.
- Engage with other researchers—including other social scientists, atmospheric scientists, data scientists, and others—including those who are internal and external to NCAR to integrate research perspectives, co‑analyze data, and co‑develop meaning about implications of results.
- Write and contribute to scientific manuscripts for publication in peer‑reviewed journals and for presentations at meetings and conferences. Help prepare and deliver summary reports or project progress reports as needed. Disseminate information about the research and results to various audiences.
- Comprehensive knowledge of risk perception, including its conceptual history, meaning, and measurement, including its dimensions.
- Comprehensive knowledge of theoretically and empirically driven, quantitative analysis of drivers, outcomes, and moderators of risk perception.
- Experience with longitudinal panel survey designs and data analysis.
- Experience with analysis of public interpretations, perceptions, and responses to probabilistic forecast information.
- Comprehensive knowledge of statistical data analysis using R and/or SPSS.
- Demonstrated ability to work independently and as part of a discipline‑diverse research team.
- Excellent time management and organization skills.
- Strong written and oral communication skills, both within field of expertise and across disciplinary boundaries.
- Visa Sponsored Job:
No - Relocation Assistance Eligible:
No - Job Location:
Boulder, Colorado - Position Type & Term:
Part time, Term - less than 6 months (Fixed Term)
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