Senior Weather Analyst/ML Researcher

We are looking to hire a strongly motivated individual to work on applied research in weather, with a focus on sub-seasonal predictability and data assimilation, in a collaborative and fast-paced environment.

Requirements

• Masters degree in Atmospheric Science or related field
• Strong programming skills in Python for data analysis
• Expertise in sub-seasonal predictability, data assimilation and numerical weather prediction, tropical variability, synoptic meteorology, renewable energy forecasting
• Experience using gridded data, observational data and satellite data for quantitative research
• Experience with AI models preferred
• Fluency in English