Data Scientist for Environmental Predictions

2 days ago


Copenhagen, Copenhagen, Denmark DMI - Danmarks Meteorologiske Institut Full time

The Danish Meteorological Institute (DMI) seeks a skilled data scientist to contribute to the development of innovative data-driven models for predicting weather and environmental phenomena. As a member of our team, you will work closely with international research partners to advance our understanding of numerical weather prediction.

Key Responsibilities:

  • Develop and implement machine learning algorithms for accurate and near real-time prediction of weather and environmental phenomena
  • Collaborate with colleagues in the Weather Research Department to integrate machine learning techniques into operational numerical models
  • Contribute to the development of new data-driven models for enhancing weather forecasting capabilities

About DMI

D MMI is the national weather forecast and warning authority for Denmark and Greenland. With a rich tradition of operating and advancing models for numerical weather prediction, DMI stands at the forefront of high-resolution numerical weather forecasting.

Requirements:

  • M.Sc. or Ph.D. degree in applied mathematics, atmospheric sciences, applied physics, data science, or a closely related field
  • Substantial experience in scientific machine learning, particularly in the context of environmental sciences
  • Proficiency in scientific programming languages such as Python, Julia, or Fortran

Benefits:

  • A competitive salary and benefits package
  • Opportunities for professional growth and development
  • A dynamic and inclusive work environment


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