Research Leader in Numerical Weather Prediction and Data Science

1 week ago


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

The Klima, Energi- og Forsyningsministeriet is seeking a research leader to 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 Department:

The Weather Research Department at DMI comprises approximately 60 scientists, working in a diverse and internationally recognized team. We offer a flexible working week and provide opportunities for professional growth and development.

Benefits:

  • Competitive salary and benefits package
  • Opportunities for professional growth and development
  • A diverse and inclusive work environment
  • A dynamic and challenging work environment

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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