Machine Learning Researcher for Advanced Weather Forecasting
4 days ago
Klima, Energi- og Forsyningsministeriet is seeking a talented Machine Learning Researcher to support the green transition through the development and application of innovative data-driven models in weather forecasting.
About the Role:
This full-time position is within the field of environmental sciences, with a special focus on meteorology and Numerical Weather Prediction (NWP). The successful candidate will contribute to a team in the Weather Research Department, focusing on model development and core modeling work.
Responsibilities:
The ideal candidate will have substantial experience and a proven track record in scientific machine learning, particularly in the context of environmental sciences. Key responsibilities include:
- Contributing to the development and application of innovative data-driven models for weather forecasting.
- Collaborating with international research partners to advance our understanding of weather prediction.
- Developing and maintaining complex software systems for data analysis and modeling.
- Providing expert advice on machine learning techniques and their applications in NWP.
Requirements:
The successful candidate should possess a Master's or Ph.D. degree in applied mathematics, atmospheric sciences, applied physics, data science, or a closely related field. Additionally, they should have strong programming skills in Python, proficiency in Linux operating systems, and experience with machine learning frameworks such as pytorch, pytorch-lightning, jax, Flux.JL, Zygote.JL, and MLFlow.
Benefits:
Klima, Energi- og Forsyningsministeriet offers a flexible working week of 37 hours, inclusive of a paid lunch break, and provides 6 weeks of paid vacation annually. The department boasts a diverse and internationally recognized staff, reflecting the collaborative nature of our research.
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