Karen Clark & Company (KCC) seeks a physical scientist with experience in atmospheric science to join their Model Development Team to develop advanced, atmospheric-peril catastrophe models, with a focus on severe convective storm hazard models.
Requirements
- Knowledge and experience in atmospheric processes related to synoptic scale, mesoscale, and convective scale weather systems
- Knowledge and experience working with remote sensing data
- Knowledge and experience in advanced probability and statistical methods as well as machine learning
- Programming experience in a widely used language like Python
- Experience with GIS software (e.g., QGIS, ArcGIS, etc.) is a plus
- Knowledge of C-Sharp programming language a plus
- Experience in catastrophe modeling a plus
Responsibilities
- Collaborate with scientists and engineers to develop the technical aspects of atmospheric models, including the hazard and impacts from events, by applying state-of-the-art data processing and machine learning techniques
- Collect and analyze large data sets of atmospheric data (e.g., numerical weather prediction, radar, satellite, etc.)
- Compile related literature and datasets required for model development
- Conduct model sensitivity and validation tests
- Provide documentation for technical publications
- Conduct post disaster field surveys after major events
Other
- PhD in geophysical science (atmospheric science preferred), physics, applied mathematics, or related field
- Ability to work independently and in a team environment
- Excellent oral and written communication skills including an eye for professional presentation
- Ability to travel within the US or internationally with little advance notice
- Some work experience (≤ 5 years) a plus
