Climate Modeling and Machine Learning Expert
vor 2 Wochen
We are seeking a highly motivated and talented researcher to join our team at the Deutsches Zentrum für Luft- und Raumfahrt (DLR) in Oberpfaffenhofen. As a researcher in our Institute of Atmospheric Physics, you will have the opportunity to work on cutting-edge projects that aim to improve climate models and projections using machine learning and spaceborne Earth observations.
The successful candidate will be part of a dynamic team that develops and evaluates climate models, with a focus on improving their accuracy and reliability. You will have the chance to collaborate with renowned experts in the field and contribute to the development of innovative methods for climate modeling and analysis. Our team is committed to advancing our understanding of the Earth's climate system and providing actionable climate science and technology assessments in aeronautics, space, transport, and energy research.
To be successful in this role, you will need to have a strong background in physics, mathematics, or computer science, with a focus on climate modeling and machine learning. You should have excellent programming skills, particularly in Python, and experience in data analysis. Fluency in English is essential, and experience in machine learning and climate modeling is highly desirable.
We offer a dynamic and supportive work environment, with opportunities for professional development and collaboration with world-renowned experts in the field. If you are passionate about advancing our understanding of the Earth's climate system and have the skills and experience to contribute to our team, we encourage you to apply for this exciting opportunity.
Key Responsibilities:- Develop and evaluate climate models using machine learning and spaceborne Earth observations
- Collaborate with experts in the field to develop innovative methods for climate modeling and analysis
- Contribute to the development of actionable climate science and technology assessments in aeronautics, space, transport, and energy research
- Work with a dynamic team to advance our understanding of the Earth's climate system
- Master's degree or equivalent in physics, mathematics, or computer science
- Excellent programming skills in Python
- Experience in data analysis
- Fluency in English
- Experience in machine learning and climate modeling is highly desirable
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