Hydrologist / Ocean Modeling (Remote)
Job Description
SFI is looking for a remote candidate that will work as part of a small team on the design and development of storm Surge modelling. The overall responsibility of the person filling this position will be to use advanced methodologies and approaches to develop and improve storm surge and compound river-coastal flooding products at NOAA National Ocean Service Storm Surge Modeling team. The person filling this role will employ an efficient coastal ocean model (e.g. SCHISM / ADCIRC / FVCOM ) to perform seamless simulation of ocean circulation across creek/ lake/ river/ estuary/ocean scales as well as performing modeling tests following Unified Forecast System best practices including developing and testing NUOPC cap to interface with other NOAA models.
Primary Responsibilities:
Task 1: Coastal Ocean Modeler - Validation of a Coupled ADCIRC - WAVEWATCH III modeling system
- Implement required scripts and software wrappers for automatically constructing input information required by the coastal ocean model for storm surge modeling.
- Implement workflow to seamlessly couple the coastal ocean model to wave and inland hydrology models.
- Implement capability to seamlessly run above mentioned modeling systems on conventional HPC and cloud (e.g. Amazon AWS) environments.
- Implement a cloud based environment for post-processing, dissemination and model accuracy assessment.
- Evaluate current development and operations procedures, recommend, and implement tools and practices to increase efficiency, reliability, and repeatability.
Required Skills & Qualifications
- Bachelor in hydraulics and hydrodynamics, computational fluid dynamics, statistics or computer science and a solid record in the development and application of numerical models.
- Years of Experience: 5-7 years overall experience in a related field
- Knowledge and understanding of application development using Agile and DevOps best
- practices (Code management, Github services, automated testing)
- Advanced scripting skills (e.g. Python, Shell, etc.)
- Experience with High Performance Computing on Linux/Unix clusters and cloud platforms such as AWS.
- Experience with numerical methods and demonstrated advanced coding abilities using
- Programming languages in particular FORTRAN, and C.
- Modeling experience demonstrating broad understanding of modeling principles including model setup, calibration, and validation.
- Experience with collecting, processing and analyzing environmental observations.
- Solid background in probability and statistics. Skills with GIS tools such as ArcGIS, QGIS, and GDAL.
Additional Requirements:
- In order to meet the clearance requirements for this opportunity, candidates must be eligible to work in the United States.
- Ability to pass a US Public Trust background investigation for access to the client site and computing systems. You must have lived in the US for the past three (3) years.
- All candidates will be subject to a complete background check to include, but not limited to Criminal History, Education Verification, Professional Certification Verification, Verification of Previous Employment and Credit History.
About the Company:
SFI is nationally recognized by Inc. Magazine by being awarded the Inc. 5000 Award in 2018, 2019, 2020, and 2021. We pride ourselves on being one of the premier employers in the VA, MD, DC area.
Our commitment to excellence in client services and product development means that our people are attentive, hands-on, and bring industry-leading expertise that will meet and exceed your needs in a timely and cost-effective manner.
Every employee at SFI is a leader. We don't settle. We motivate others to reach their full potential. To learn more about us visit: www.spatialfront.com
Other Information:
- The salary range for this position is $70,000 - $83,000 annually
- This is a full-time position. Please no agencies, third parties, or corp-to-corp.
- Equal-opportunity Employer, EOE AA M/F/Vet/Disability.
- Spatial Front Inc. participates in E-Verify.
Date Posted
12/23/2022
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7
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