• Testing new foundation model architectures for weather and climate applications
• Analysis and preprocessing of climate- and weather data modalities, such as time series, image data, texts- and numeric data, especially remote sensing or radar data
• Orchestration and documentation of Deep Learning experiments
• Processing and visualization of large amounts of data
• Review of relevant literature and data
• Testing software and frameworks

• Study of mathematics, computer science, physics, engineering or similar with good to very good grades
• Strong programming skills in Python with knowledge of frameworks such as NumPy, Pytorch, Pandas etc.
• Experience and confidence in using Linux (Ubuntu) via terminal
• Advanced knowledge in Machine Learning
• Motivated in writing clean and tidy code (implementation, testing, documentation, versioning with git)
• Affinity for technologies
• Curiosity about a deeper understanding of Deep Learning architectures
• Interest in the intersection of AI and climate science

• Fascinating challenges in a scientific and entrepreneurial setting
• Attractive salary
• Modern and excellently equipped workspace in central location
• Great and cooperative working atmosphere within an international team
• Opportunities for writing a master’s or bachelor’s thesis
• Flexible working hours
• Opportunities to work from home

The position is initially limited to 12 months. An extension is explicitly desired.