Senior Research Scientist in Atmospheric Science and Machine Learning

1 week ago


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

We are seeking a senior research scientist to join our team and lead the development of advanced data-driven models for numerical weather prediction. This role involves collaboration with international partners to enhance weather forecasting capabilities and support the green transition.

Key Responsibilities:

  • Leading the development of new data-driven models
  • Collaborating with international research partners
  • Developing and implementing cutting-edge techniques
  • Communicating research findings and results

About the Position:

This is an exciting opportunity to contribute to the advancement of numerical weather prediction and support the green transition. You will have the chance to collaborate with a diverse team of researchers and contribute to the development of innovative data-driven models.

Required Skills and Qualifications:

  • Educational background in applied mathematics, atmospheric sciences, or related fields
  • Substantial experience in scientific machine learning, particularly in environmental sciences
  • Proficiency in scientific programming, software development, and data analysis
  • Strong data management and analysis skills
  • Familiarity with frameworks such as PyTorch, JAX, and MLFlow


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