Machine Learning Researcher for Environmental Science
7 hours ago
The Danish Meteorological Institute (DMI) is seeking a talented machine learning scientist to contribute to the advancement of numerical weather prediction models.
Key Responsibilities
- Develop and apply machine learning techniques to improve weather forecasting capabilities.
- Collaborate with international research partners to advance the understanding of weather prediction.
- Contribute to the development of innovative data-driven models for accurate and near real-time weather forecasting.
- Work closely with colleagues to advance the understanding of weather prediction and develop new forecasting models.
Requirements
- Master's or Ph.D. degree in applied mathematics, atmospheric sciences, applied physics, data science, or a closely related field.
- Substantial experience in scientific machine learning, particularly in the context of environmental sciences.
- Proficiency in scientific programming, including software development for data analysis and modeling.
- Strong proficiency in Python, with familiarity with Julia and Fortran an advantage.
- Experience with frameworks such as PyTorch, PyTorch-Lightning, JAX, and MLFlow beneficial.
- Strong data management and analysis skills, including data pre-processing and post-processing.
- Proficiency in Linux operating systems and scripting.
- Excellent communication and teamwork skills.
About DMI
DMI is the national weather forecast and warning authority for Denmark and Greenland. With a rich tradition of operating and advancing models for numerical weather prediction, DMI stands at the forefront of high-resolution numerical weather forecasting.
How to Apply
To apply for this exciting opportunity, please submit a motivated cover letter, a curriculum vitae, relevant exam papers and diplomas, and contact information for relevant professional references.
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