> Markdown version of [/jobs/ext/4415948-support-scientist-for-operational-wave-and-storm-surge-modeling-development](https://www.wearedevelopers.com/jobs/ext/4415948-support-scientist-for-operational-wave-and-storm-surge-modeling-development). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Support Scientist for Operational Wave and Storm Surge Modeling Development - **Company:** N-Link Corporation - **Location:** United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Web Interfaces, Artificial Intelligence, Unix, C++ (Programming Language), Decision Support Systems, Fortran (Programming Language), Github, Python (Programming Language), Machine Learning, NetCDF, Object-Oriented Software Development, OpenMP, Shell Script, Software Engineering, Systems Integration, Operational Systems, Web Technologies, Slurm, Data Delivery, Programming Languages - **Published:** October 27, 2026 - **Apply:** https://jobs.military.com/career/376301/operational-surge-wave-modeling-development-support-maryland-md-college-park ## About the Role * An M.S. (or equivalent experience) in meteorology, physical oceanography, coastal engineering or a related field, with 7+ years in weather forecasting, physical oceanography, or coastal ocean science. \n * Knowledge of spectral wave models (like WAVEWATCH III), in particular for real-time applications.\n * Demonstrated experience with operational storm surge models (e.g., SLOSH, P-ETSS, P-Surge, SCHISM, and/or ADCIRC)\n * Strong background in ensemble modeling, probabilistic output analysis, and real-time model merging and weighting techniques.\n * Understanding of meteorological inputs and atmospheric forcing (e.g., NBM), with experience generating secondary fields (e.g., deriving synthetic pressure fields from wind fields using published formulations).\n * Experience running numerical models on High Performing Computer (HPC) platforms using PBS and Slurm for job submittals, and MPI or OpenMP for multi-processing.\n * Advanced skills and knowledge of modern programming languages and object-oriented languages, such as Fortran 90, C/C++ and Python.\n * Experience working in a UNIX environment with advanced shell scripting languages and familiar with running complex jobs.\n * Demonstrated proficiency using GitHub to manage software repositories, code versions, and projects.\n * Ability to maintain, visualize, and disseminate marine modeling output and web-based products.\n, * Demonstrated experience in real-time operational system integration, model blending, and software development within regional and nearshore domains.\n * Direct experience operating within NOAA/NWS operational environments, specifically WCOSS and NCO standards (directory structures, production job controls, and script standards).\n * Familiarity with applying artificial intelligence and machine learning (AI/ML) techniques to enhance wave parameterizations, model efficiency, or forecast accuracy.\n * Strong team-player mindset with a proven ability to collaborate across interagency and private sectors.\n ## Description * Operational Modeling & System Integration: Work with the team to support the development, optimization, maintenance, and integration of wave and storm surge modeling capabilities within NWS operational architectures, ensuring strict alignment with operational standards.\n * Coastal Processes & Hazard Prediction: Contribute to advancing numerical, statistical, and probabilistic formulations for key coastal phenomena, including total water level guidance based on storm surge and wave runup, rip current guidance, and real-time model merging/weighting.\n * Atmospheric Forcing & Diagnostics: Work with meteorological input datasets (e.g., National Blend of Models -NBM) and derive key secondary diagnostics (e.g., generating synthetic pressure fields from wind fields using established formulations).\n * Interagency & Sector Collaboration: Partner across multidisciplinary federal and private sectors (e.g., USGS, NOS, academic institutions, and private industry) to evaluate external models and accelerate the transition of research to operations .\n * Model Experimentation & Validation: Assist in designing and executing numerical model experiments, applying advanced Python-based verification, performance metrics, and observational data-fusion techniques across regional and nearshore domains.\n * System Support & Web Interfaces: Maintain, visualize, and disseminate marine modeling output by leveraging front-end web technologies to display pre-operational and operational model guidance for internal and public use.\n