Machine learning scientist – weather satellite data
KNMI, de Bilt, The Netherlands
Closing date: 5 March 2025
KNMI – Royal Netherlands Meteorological Institute is the Dutch national weather service with a focus on weather forecasting, climate monitoring, air quality, and seismic activity. KNMI is also the national research and information centre for meteorology, climate, air quality, and seismology. The institute actively seeks to learn from past events to improve future advice and reduce risks, working collaboratively with the general public, authorities, and weather businesses to innovate services and create economic opportunities.
Role Description
This is 2+ year PostDoc position on-site role for a Machine Learning Scientist specialized in weather satellite data. The Machine Learning Scientist will be responsible for tasks such as pattern recognition, computer science, statistics, programming, and neural networks. The role is located in The Randstad, Netherlands (de Bilt, near Utrecht).
Qualifications
- Pattern Recognition and Neural Networks skills
- Proficiency in Computer Science and Statistics
- Strong programming skills
- Experience in machine learning, weather satellite data analysis
- Knowledge of meteorology, climate science, and air quality
- Ability to work in a collaborative environment
- Master’s or Ph.D. in Computer Science, Statistics, or related field