Stream 2 – Machine Learning
Check out the Challenges for Stream 2*
Are you interested in exploring the intersection of machine learning and earth sciences? Then the challenges under this stream are a great opportunity for you! By participating, you’ll have the chance to work on cutting-edge projects with other like-minded individuals and develop your skills in a supportive and collaborative environment.
Let us know your innovative ideas related to one of these challenges!
- Challenge 20 – DSS MLCosting for requests
- Challenge 21 – ML-Driven Downscaling of Global Air Pollution Fields
- Challenge 22 – Physical consistency in multi-variate Machine Learning applications for the Earth System
Submit your proposal for any of the Challenges in Stream 2— selected and successfully completed projects will receive a €5,000 stipend!**
Submit your proposal!*Terms and Conditions apply. ECMWF funding is available for nationals and residents of ECMWF Member States and Co-operating States.
EU funding is available for nationals from European Union (EU) Member States, countries associated with EU’s Space Programme (currently Iceland, Norway and United Kingdom) and countries associated with EU’s Digital Europe Programme (currently Albania, Iceland, Liechtenstein, Montenegro, North Macedonia, Norway, Serbia, Türkiye, Moldova, Kosovo, Bosnia and Herzegovina, and Ukraine).
**Successfully completed projects will be eligible to a stipend of €5,000 and if applicable, cloud credits from the European Weather Cloud or WEkEO.