Environmental Data Analyst for Climate Prediction
3 days ago
The Danish Meteorological Institute seeks an exceptional environmental data analyst to contribute to the development of innovative data-driven models for climate prediction. As a key member of our team, you will collaborate with international research partners to develop cutting-edge forecasting models, leveraging state-of-the-art techniques in machine learning and data science.
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 environmental science.
Essential Skills:
- 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 Team:
The Weather Research Department at DMI is comprised of approximately 60 scientists, with 25 working in the weather modeling section. We boast a diverse and internationally recognized staff, reflecting the collaborative nature of our research. DMI offers a flexible working week, inclusive of a paid lunch break, and provides 6 weeks of paid vacation annually.
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