Research Scientist

September 16

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Description

• Work with a team of established scientists and engineers with a diverse background in modelling and research. • Contribute to the scientific and technological development of severe natural hazard models (e.g., wildfire, flood, windstorms) and their applications. • 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 source including remotely sensed satellite imagery, geospatial and environmental information, weather data, with a focus on the need for statistical credibility at all times. • Evaluate model outputs in time and space using GIS tools.

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. • 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.