Weather Forecasting Research Scientist

2 days ago


College Park, Maryland, United States ERT Full time
About the Position

We are seeking an experienced Research Scientist to join our team at the Climate Prediction Center (CPC) to improve seasonal forecast guidance by developing, testing, and implementing artificial intelligence (AI) and machine learning (ML) algorithms. As a key member of our team, you will have the opportunity to work closely with scientists at CPC and other NOAA agencies.

Responsibilities
  • Evaluate reforecast model output of relevant variables from a large ensemble of seasonal forecasts using verification techniques and packages such as METplus.
  • Develop, train, and test AI/ML methods for seasonal forecasting using inputs from statistical models and ensemble sets from several dynamical models.
  • Compare the skill of probabilistic tercile forecasts using the AI/ML model(s) to those of their input sources.
Requirements
  • Experience developing, training, and validating AI/ML models applied to geophysical or similar problems.
  • Knowledge of a variety of AI/ML methodologies and their applicability to different problems.
  • Experience utilizing large datasets in formats used in the atmospheric sciences such as GRIB/GRIB2, netCDF, etc.
  • Experience utilizing AI/ML packages and tools (e.g., keras, tensorflow, and/or others).
  • Ability to process and analyze statistical and dynamical model datasets including from ensembles of dynamical models and experience processing atmospheric or other earth-science data.
  • Demonstrated proficiency in scientific programming languages such as Python, Fortran, and in computational tools such as MATLAB or others.
  • Experience working in a Linux environment.
  • Knowledge of weather and/or climate phenomena and how they may influence a forecast.
Benefits

ERT offers a comprehensive benefits package, including medical, Rx, dental, and vision insurance, 401(k) retirement plan with company-matching, 11 paid federal holidays, basic life and supplemental life insurance, health savings account, flexible spending accounts, short-term and long-term disability, employee assistance program, tuition reimbursement, personal development and learning opportunities, skills development and certifications, professional membership reimbursement, employee referral program, competitive compensation plan, discretionary variable incentive bonuses, and publication and conference presentation awards with bonuses.



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