UCSD Layoff from Career Appointment: Apply by 10/26/22 for consideration with preference for rehire. All layoff applicants should contact their Employment Advisor.
Special Selection Applicants: Apply by 11/4/22. Eligible Special Selection clients should contact their Disability Counselor for assistance.
Job posting will remain open until a suitable candidate has been identified.
The Atmospheric Scientist is responsible for both designing and supporting research projects related to the physical processes responsible for extreme precipitation across the U.S. These projects include the study of atmospheric rivers among other storms, quantitative precipitation forecasts (QPF), and QPF skill in order to improve understanding and prediction of extreme hydro-meteorological events based on the analysis of observational and model data.
Collaborates and leads reports and peer-reviewed publications as needed, including analyses, diagnostics, figures and text. Organizes collaborative research across cooperating institutions. Utilizes extensive research and forecasting experience in areas of synoptic-dynamic and mesoscale meteorology to develop and execute projects of broad scope and complexity that address CW3E objectives. Contributes to the development of predictive tools based on research methodologies to benefit water management. Conducts case studies of extreme events. Examines relationships between storm characteristics, precipitation, and QPF skill. Uses numerical modeling and large numerical datasets to perform research.
Bachelor's degree in related area and / or equivalent experience / training. Master's degree or PhD in meteorology, atmospheric sciences, climate science or related field preferred.
Thorough knowledge of research function. Strong experience as an independent researcher.
Thorough skills associated with statistical analysis and systems programming. In-depth experience in scientific programming including MATLAB, NCL and Python (Python preferred) as it pertains to meteorological data analysis.
Thorough skills in analysis and consultation. Knowledge on how to evaluate numerical weather prediction model performance, for both deterministic and ensemble datasets and probabilistic predictions.
Skills to communicate complex information in a clear and concise manner both verbally and in writing. Skills in scientific graphical representation, scientific writing and experience presenting at scientific conferences (poster, and oral presentations).
Skills in project management. Strong time management skills, prioritizing tasks, and meeting deadlines.
Research skills at a level to evaluate alternate solutions and develop recommendations. This includes proposing new analyses, new conceptual ideas, or new workflow recommendations.
Excellent interpersonal skills including thoughtfulness, diplomacy and flexibility with the ability to work independently or within ateam framework in conjunction with principles of community with staff, faculty, researchers, and students.
In-depth knowledge of operational forecasting models and products. Strong knowledge of observational and reanalysis data sets as applied to US West coast meterology and climate.
Job offer is contingent upon satisfactory clearance based on Background Check results.
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