Probabilistic Hazard Information (PHI) and AI/ML Research Specialist – Subject Matter Expert II

This is a fully remote position, open to applicants in United States.

📋 Description

• Utilize specialized, expert knowledge to enhance PHI research and development efforts aimed at improving rapidly evolving probabilistic severe-weather forecasts.

• Create, develop, and assess AI/ML methodologies for probabilistic hazard forecasting.

• Oversee the integration of WoFS ensemble outputs with PHI systems and operational workflows.

• Innovate methods to combine WoFS forecasts with radar, satellite, lightning, and environmental data.

• Execute data analysis, visualizations, verification, and studies on explainability.

• Guide the development of software tools, workflows, and visualization products that support research, testing, and operational transitions.

• Spearhead user engagement and evaluation initiatives at the Hazardous Weather Testbed (HWT).

• Examine feedback from forecasters and stakeholders to inform product development.

• Collaborate closely with scientists, developers, forecasters, and external partners.

• Prepare technical documentation, software repositories, evaluation reports, and project deliverables.

• Contribute to quarterly and annual project reports.

• Lead or assist in the creation of peer-reviewed publications and disseminate findings at conferences, workshops, and stakeholder meetings.

• Offer technical guidance and limited oversight to project team members.

⛳️ Requirements

• Bachelor's Degree in meteorology, atmospheric science, computer science, data science, engineering, or a related discipline.

• Over 8 years of professional or academic experience.

• Experience in research related to severe convective storms, hazardous weather forecasting, or probabilistic prediction systems.

• Familiarity with ensemble forecasting systems, including Warn-on-Forecast (WoFS) or similar convection-allowing ensemble prediction systems.

• Experience in applying artificial intelligence and/or machine learning techniques to meteorological, environmental, or geospatial data.

• Proven experience in leading a project team or providing limited supervision in a technical research setting.

• Proficient in scientific programming and software development using Python and associated data analysis and visualization tools.

• Experience with large observational and model datasets, including radar, satellite, lightning, and environmental data.

• Understanding of forecast verification methodologies, uncertainty quantification, and model evaluation techniques.

• Experience with high-performance computing (HPC) resources and contemporary software development practices.

• Ability to articulate complex scientific ideas through presentations, technical reports, and peer-reviewed publications.

• Experience collaborating with operational users, stakeholders, or forecasters in developing and assessing decision-support tools.

• Must complete an online IT security awareness course within one week of commencing employment.

• Foreign national candidates must undergo export control review and obtain CO/COR approval prior to consideration.

🏝️ Benefits

• Health Insurance

• Dental Insurance

• Vision Insurance

• Long-term and Short-term Disability Insurance

• Life Insurance

• 401(k) Plan

• Holiday Pay

• Paid Time Off

• Professional development

• Opportunities for internal promotions

• Recognition and rewards programs

• Government-furnished equipment, including access to HPC resources, specialized mobile observation platforms, laboratory test equipment, computers, and office workspace, as applicable