Scientist, Hydrometeorology and Statistics
- Employer
- AIR
- Location
- Boston, Massachusetts, US
- Salary
- Competitive
- Closing date
- Aug 6, 2021
View more
- Sector
- Academic / Research
- Field
- Conservation science
- Discipline
- Statistics
- Salary Type
- Salary
- Employment Type
- Full time
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Job Description
Come join the Stochastic Modeling Team in AIR's Boston-based Research Department, and contribute to building state-of-the-art probabilistic flood models. Our team projects offer opportunities for creative problem-solving on a boundless set of interesting problems at the interface of extreme weather, climate change, and risk. Catastrophe models depend fundamentally on hierarchical modeling of space-time physical processes, inference from heterogeneous and incomplete calibration data, and ensemble techniques to quantify uncertainty. We learn continuously through interdisciplinary collaborations with a diverse team of meteorologists, applied mathematicians, climate scientists, engineers, and hydrologists. As such, this is a fantastic position for a curious statistician with a passion for modeling atmospheric processes! In addition to sharp technical skills, we also hope you will bring a practical, applied mindset to the role. This role is responsible for delivery and maintenance of simulated precipitation catalogs for AIR's state-of-the-art flood risk assessment capabilities.
Day to Day Responsibilities:
• Develop and enhance stochastic and physically-based precipitation models for regions across the globe, with a focus on the practical application of precipitation modeling, data assimilation, risk assessment, and insurance industry
• Collect, process, and analyze numerous and varied data types used for the precipitation simulation, bias correction, and validation processes. These data may include in-situ and satellite-derived observations, as well as data products and numerical model output.
• Be comfortable operating in real and near-real time on tight deadlines within a team to obtain the best possible representation of an actual precipitation event
• Assimilate data into the modeling process to bring model output close to observations
• Present AIR precipitation models to clients, government bodies and the science community
• Work closely with the flood modeling team to ensure smooth delivery of products representing both historical and simulated precipitation
Come join the Stochastic Modeling Team in AIR's Boston-based Research Department, and contribute to building state-of-the-art probabilistic flood models. Our team projects offer opportunities for creative problem-solving on a boundless set of interesting problems at the interface of extreme weather, climate change, and risk. Catastrophe models depend fundamentally on hierarchical modeling of space-time physical processes, inference from heterogeneous and incomplete calibration data, and ensemble techniques to quantify uncertainty. We learn continuously through interdisciplinary collaborations with a diverse team of meteorologists, applied mathematicians, climate scientists, engineers, and hydrologists. As such, this is a fantastic position for a curious statistician with a passion for modeling atmospheric processes! In addition to sharp technical skills, we also hope you will bring a practical, applied mindset to the role. This role is responsible for delivery and maintenance of simulated precipitation catalogs for AIR's state-of-the-art flood risk assessment capabilities.
Day to Day Responsibilities:
• Develop and enhance stochastic and physically-based precipitation models for regions across the globe, with a focus on the practical application of precipitation modeling, data assimilation, risk assessment, and insurance industry
• Collect, process, and analyze numerous and varied data types used for the precipitation simulation, bias correction, and validation processes. These data may include in-situ and satellite-derived observations, as well as data products and numerical model output.
• Be comfortable operating in real and near-real time on tight deadlines within a team to obtain the best possible representation of an actual precipitation event
• Assimilate data into the modeling process to bring model output close to observations
• Present AIR precipitation models to clients, government bodies and the science community
• Work closely with the flood modeling team to ensure smooth delivery of products representing both historical and simulated precipitation
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