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Lynker

Government contracting for environmental science services

Physical Scientist - HAFS Developer

Data SciencePosted on Nov 5
Full-timeCollege Park, MD, USAIn-person

About the Job

Requirements

  • A Master's degree or higher in atmospheric sciences, meteorology, oceanic, mathematics, or a related physical science is required.
  • At least 2 years of experience in hurricane and tropical cyclone modeling is required.
  • Advanced knowledge of tropical meteorology and experience developing hurricane numerical weather prediction systems for operational implementation are required.
  • Knowledge and skills in modern programming languages and object-oriented languages, such as FORTRAN90 and Python, are required.
  • Knowledge of high-performance computing environments is required.
  • Proficiency with modern software development practices and version control software is required.
  • The candidate must be able to communicate technical details of work plans and present results clearly and accurately, orally and in writing, to scientists from diverse backgrounds.
  • The candidate must be able to work independently on complex problems in a team and fast-paced environment, and perform tasks requiring organization and attention to detail.
  • The candidate must be able to support team initiatives, respect team members, and seek team consensus.

Responsibilities

  • Work with NOAA scientists and external collaborators to develop and evaluate current and future operational hurricane forecast systems.
  • Design, develop, and evaluate HAFS ensemble analysis and forecasts for downstream applications.
  • Work with advanced UFS infrastructure and multi-scale modeling frameworks to improve hurricane-specific physics, data assimilation, dynamics, high-resolution telescoping, and moving-nest techniques.
  • Implement and advance hurricane-specific physics schemes within the UFS framework.
  • Develop and advance inner-core storm initialization and data assimilation techniques for hurricane forecasting.
  • Develop and improve UFS-based dynamics and moving-nesting for high-resolution hurricane modeling.
  • Develop and advance UFS-based coupled earth system modeling for hurricane forecasting, including atmosphere, land, ocean, wave, and storm surge components.
  • Develop scripts for flexible end-to-end system integration and automation, enabling additional functionality.
  • Design, set up, and conduct pre-implementation tests for experimental and operational hurricane model upgrades.
  • Explore, develop, test, and evaluate the HAFS-based ensemble forecast system.

Desired Qualifications

  • Experience with artificial intelligence weather modeling, specifically for hurricane prediction.
  • Familiarity with operational numerical weather prediction and/or an operational forecasting environment.
  • Experience with UFS applications and knowledge of earth system modeling.
  • Experience in high-resolution model development in infrastructures such as ESMF, FMS, CCPP, and JEDI.
  • Familiarity with advanced tropical cyclone data assimilation systems and algorithms.
  • Experience or knowledge of hurricane model evaluation and verification.
  • Familiarity with agile software development practices.

About the Company

Lynker

Government contracting for environmental science services

Lynker provides professional, scientific, and technical services to federal agencies, with NOAA as its main client. It works on weather and climate science, marine and ocean science, systems integration, and environmental policy, including forecast models, data assimilation, and maritime observing networks. The company differentiates itself through deep domain expertise in environmental science, data analytics, and geospatial solutions, delivered by an employee-owned team focused on environmental security and economic prosperity. Its goal is to support NOAA and other agencies in advancing weather, oceans, and environmental monitoring to improve public safety, scientific understanding, and economic resilience.

Company size
201-500
Company stage
Not listed
Total funding
Not listed
Headquarters
Leesburg, VA
Founded
2007

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