Machine Learning Researcher in Weather Forecasting

5 days ago


Copenhagen, Copenhagen, Denmark Klima, Energi- og Forsyningsministeriet Full time

The Klima, Energi- og Forsyningsministeriet seeks a talented machine learning researcher to drive innovation in weather forecasting. As a critical member of our team, you will collaborate with international research partners to develop cutting-edge data-driven forecasting models, leveraging state-of-the-art techniques in graph-based learning, Bayesian inference, and generative learning.

With a focus on environmental sciences, your responsibilities will include contributing to a team in the Weather Research Department, developing and applying innovative models, and collaborating with colleagues to advance our understanding of weather prediction.

Key Requirements:

  • A Master's or Ph.D. degree in a relevant field, such as applied mathematics, atmospheric sciences, or data science.
  • Proven expertise in scientific machine learning, particularly in environmental sciences, with experience in applying state-of-the-art techniques.
  • Proficiency in scientific programming, with strong proficiency in Python and familiarity with Julia and Fortran.
  • Experience with frameworks such as pytorch, pytorch-lightning, jax, Flux.JL, Zygote.JL, and MLFlow.
  • Strong data management and analysis skills, including data pre-processing and post-processing.
  • Effective communication and teamwork skills, with the ability to develop, implement, and clearly communicate structured working processes.

About the Role:

This exciting opportunity at DMI enables you to drive innovation in weather forecasting, advancing our understanding of environmental science and enhancing weather prediction capabilities. As a critical member of our team, you will have the chance to collaborate with international research partners and make a meaningful impact on the field.



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