Summary
The job is for a scientist or engineer in Skynet Software, a division of Chelsea Avondale, focusing on developing severe natural hazard models. The role involves working with a team, contributing to research, managing projects, and using Python for scientific coding.
Requirements
- BSc, MSc, or PhD in Applied Mathematics or Physics with an outstanding research track record
- Writing high-performance scientific code in Python
- Broad knowledge of mathematical modelling, numerical solutions to differential equations, optimization, uncertainty quantification, Monte Carlo simulations
- Experience with statistical evaluation of large, multi-dimensional datasets
- Demonstrated experience running computer-based experiments with geophysical applications
Responsibilities
- Work with a team of established scientists and engineers
- Contribute to the scientific and technological development of severe natural hazard models (e.g., wildfire, flood, windstorms)
- Champion the development cycle from data cleaning thru implementation
- Provide critical evaluation of scientific literature and engage industry experts to help formulate solutions to specific problems
- Leverage libraries and packages in Python to write scientific code that is modular, fast and easy
- Manage individual project priorities, deadlines and deliverables with your technical expertise
- Calibration and validation of the individual model components, including benchmarking to historical events
- Research, vet and augment various datasets from different sources
- Evaluate model outputs in time and space using GIS tools
Preferred Qualifications
- Experience in academia or industry on related topics post PhD will be beneficial
- Our ideal candidate has catastrophe modelling experience e.g., flood/wildfire/severe weather