[ES_JOBS_NET] Senior Scientist, Hydrologic & Hydraulic Modeler, Jupiter Intelligence, Inc.
Justin Rogers
jsrogers at stanford.edu
Sat Jan 8 08:10:13 MST 2022
Senior Scientist, Hydrologic & Hydraulic Modeler, Jupiter Intelligence, Inc.
SAN MATEO, CA | BOULDER, CO | NEW YORK, NY
EARTH & OCEAN SYSTEMS /FULL TIME
https://jobs.lever.co/jupiterintel/19d834bf-b172-46f9-9f21-79b76817e8ca
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About Us
Jupiter is the global market leader in analytics for resilience planning
and enterprise climate risk management, especially in financial services,
industrial, the public sector, and NGOs.
Jupiter is led by pioneers in data, climate, and earth and ocean sciences,
as well as technology, risk management, company building, and public
policy. Our climate risk modeling solutions save lives and mitigate
potentially catastrophic impacts inflicted by hurricanes, floods, heat
waves, wildfires, drought, and other extreme weather events on homes,
businesses, infrastructure, food and water supplies, and entire economies.
Bringing diversity to prepare a diverse planet for our changing climate
Jupiter was founded on the principle that with the right approaches and the
right team, we can prepare Earth’s economies to meet the challenges
associated with climate change. The world is a diverse place; a diverse
workforce in an inclusive environment is essential to meet our goals. We go
forward together.
We seek new colleagues—data scientists, physical scientists, software
engineers, company builders, and more—who share our passion for excellence,
innovation, and collaboration. Jupiter was founded on the principle that
with the right approaches and the right team, we can prepare Earth’s
economies to meet the challenges associated with climate change.
The purpose of this role is to develop and deploy complex modeling
frameworks to simulate and predict hydrologic and hydraulic processes on
commercial cloud platforms. This role will deploy both physics and
machine-learning based algorithms for numerical simulation/prediction of
flood risk resulting from rainfall, river flow, and coastal storm surge.
This role troubleshoots complex systems, identifies and correct weaknesses,
incorporates new algorithms, contributes to process workflows, and assures
quality of output. This role is a critical piece of the team delivering
data that forms the backbone of Jupiter products.
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Core Functions of the Position:
- Provide expertise in overland flow and riverine computational modeling
- Develop and execute high-resolution, large-scale, fluvial flood
inundation models
- Develop and execute high-resolution, large-scale, pluvial flooding models
- Implement and optimize engineering-grade 2D hydrodynamic models to
simulate pluvial and fluvial inundation
- Collaborate with data scientists, and coastal ocean modelers, to develop
integrated flooding products
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Technical Skills:
- Model design and development
- Model parameter optimization
- Model validation and verification
- Geospatial data preprocessing
- Familiarity with HPC/cloud computing
- Strong knowledge of Python coding
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Education & Experience:
- PhD (preferred) in Civil Engineering, Water Resources, Fluid Mechanics,
Hydrology or related field, or MS and equivalent experience in one of those
fields
- 3+ years post-grad experience ideal
- Knowledge of channel and floodplain hydrodynamics
- Flood inundation modeling experience
- Knowledge of scalable computational methods
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Please submit your Cover Letter and Resume to us to see if there might be a
great fit.
Jupiter Intelligence is an equal opportunity employer to all, regardless of
age, ancestry, color, disability (mental and physical), exercising the
right to family care and medical leave, gender, gender expression, gender
identity, genetic information, marital status, medical condition, military
or veteran status, national origin, political affiliation, race, religious
creed, sex (includes pregnancy, childbirth, breastfeeding and related
medical conditions), and sexual orientation.
Must be authorized to work in the US
https://jobs.lever.co/jupiterintel/19d834bf-b172-46f9-9f21-79b76817e8ca
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