Support Scientist for Operational Wave and Storm Surge Modeling Development

Lynker Technologies; College Park (MD); Hybride; USD 90 000 - 130 000; Plein temps

Avantages offerts par ce poste

Personalized career growth plans

Résumé du poste

Lynker Technologies seeks a Support Scientist to accelerate operational wave and storm surge modeling for NWS. The role blends development, testing, and deployment of physics-based, probabilistic, and AI/ML surge/wave frameworks, integrating atmospheric forcing and building intuitive web interfaces.

Ideal candidates have an MS in meteorology or physical oceanography, 5+ years in weather/ocean science, and experience with HPC, spectral models, and real-time systems.

Qualifications

• M.S. in meteorology, physical oceanography, coastal engineering or related field.
• 5+ years in weather Forecasting, coastal/ocean science.
• Experience with spectral wave models and real-time applications.

Responsabilités

• Support development, optimization, and integration of wave and storm surge modeling within NWS architectures.
• Advance coastal hazard predictions including storm surge, wave runup, and rip current guidance.
• Work with atmospheric forcing datasets (NBM) and derive diagnostic fields.
• Collaborate across interagency and private sectors to transition research to operations.
• Design and execute numerical model experiments with Python-based verification and metrics.
• Maintain visualization and dissemination of model outputs via web interfaces.

Connaissances

Wave modeling

Ensemble modeling

Python

C/C++

GitHub

Unix scripting

Formation

M.S. in meteorology or physical oceanography, coastal engineering

Outils

Fortran 90

C/C++

Python

MPI/OpenMP

PBS/Slurm

GitHub

Description du poste

Lynker Technologies

Support Scientist for Operational Wave and Storm Surge Modeling Development

College Park, MD

US-MD-College Park

# of Openings: 1

Full-Time

Overview

Lynker is seeking a Support Scientist for Operational Wave and Storm Surge Modeling Development to accelerate and enhance operational marine modeling capabilities within the National Weather Service (NWS). With roughly 40% of the U.S. population residing in coastal communities and coastal flooding, storm surge, and rip currents remaining leading causes of weather-related hazards, this role advances foundational guidance for Impact-Based Decision Support Services (IDSS) to protect life and property. Working alongside a team, the specialist will support the development, testing, and implementation of physics-based, probabilistic, and machine learning surge/wave frameworks, integrate atmospheric forcing, and assist in transitioning cutting-edge capabilities into NWS operations. Additionally, the specialist will contribute to building and updating intuitive web interfaces to visualize pre-operational model output, ensuring rapid feedback and accessible data delivery for key stakeholders. The Ideal Support Scientist for Operational Wave and Storm Surge Modeling Development will be able to work a hybrid schedule, working 2 days per week from the NOAA Center for Weather and Climate Prediction (NCWCP) office in College Park, MD, and the remaining 3 days per week from home.

Responsibilities

• 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.
• 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.
• 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).
• 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.
• 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.
• 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.

Qualifications

The Support Scientist for Operational Wave and Storm Surge Modeling Development should have the following:

• An M.S. (or equivalent experience) in meteorology, physical oceanography, coastal engineering or a related field, with 5+ years in weather forecasting, physical oceanography, or coastal ocean science.
• Knowledge of spectral wave models (like WAVEWATCH III), in particular for real-time applications.
• Demonstrated experience with operational storm surge models (e.g., SLOSH, P-ETSS, P-Surge, SCHISM, and/or ADCIRC)
• Strong background in ensemble modeling, probabilistic output analysis, and real-time model merging and weighting techniques.
• 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).
• Experience running numerical models on High Performing Computer (HPC) platforms using PBS and Slurm for job submittals, and MPI or OpenMP for multi-processing.
• Advanced skills and knowledge of modern programming languages and object-oriented languages, such as Fortran 90, C/C++ and Python.
• Experience working in a UNIX environment with advanced shell scripting languages and familiar with running complex jobs.
• Demonstrated proficiency using GitHub to manage software repositories, code versions, and projects.
• Ability to maintain, visualize, and disseminate marine modeling output and web-based products.

The Ideal Support Scientist for Operational Wave and Storm Surge Modeling Development will have the following:

• Demonstrated experience in real-time operational system integration, model blending, and software development within regional and nearshore domains.
• Direct experience operating within NOAA/NWS operational environments, specifically WCOSS and NCO standards (directory structures, production job controls, and script standards).
• Familiarity with applying artificial intelligence and machine learning (AI/ML) techniques to enhance wave parameterizations, model efficiency, or forecast accuracy.
• Strong team-player mindset with a proven ability to collaborate across interagency and private sectors.

About Lynker

Lynker is a growing, employee owned business, specializing in professional, scientific and technical services. Our continually expanding team combines scientific expertise with mature, results-driven processes and tools to achieve technically sound, cost effective solutions in hydrology/water sciences, geospatial analysis, information technology, resource management, conservation, and management and business process improvement.

We focus on putting the right people in the right place to be effective. And having the right people is critical for success. Our streamlined organization enables and empowers our talented professionals to tackle our customers' scientific and technical priorities creatively and effectively.

Lynker offers a team-oriented work environment, and the opportunity to work in a culture of exceptionally skilled professionals who embrace sound science and creative solutions. Lynker's benefits include the following:

• Personalized career growth plans for every employee

Lynker is an E-Verify employer.

Lynker is an equal opportunity employer and makes all employment decisions based on merit, qualifications, and business needs. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other legally protected status under federal, state, or local laws.

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