Hackathon on Machine Learning for the Earth System

Hackathon on Machine Learning for the Earth System

Join us for an exciting Hackathon on Machine Learning for the Earth System! This event brings together PhD students and early-career researchers from Earth System science and Computer Science to collaborate, learn, and tackle challenges at the intersection of AI and climate research. Through this form, we would like to learn more about your existing knowledge of the relevant Hackathon topics. Based on our assessment, we will contact you by the end of April to inform you whether you have been selected. - Read more about the event: https://cesoc.net/hackathon-on-machine-learning-for-the-earth-system/
Date: 2025, August 27-29

Location: Computer Science Department, University of Bonn - Friedrich-Hirzebruch-Allee 8, 53115 Bonn, Germany
Full Name*

PrefixFirst NameLast Name
Affiliation*
E-mail*
example@example.com
Why would you like to participate in the Hackathon (max. 200 words)?*

0/200
1. Programming and HPC experience
I have practical experience with Python programming.I am familiar with Jupyter notebooks.I have experience using SLURM for job scheduling.
Which HPC system(s) have you worked with?*
2. ML experience
I have used Pytorch or Keras to develop, train and run an ML model on any topic.I already built an ML model from scratch.I have a good theoretical understanding of neural networks such as FFN, LSTM, CNN.I have a good theoretical understanding of GEN-AI modelling such as variational auto encoder, GAN, transformer, or diffusion network.
The most recent model(s) I’ve developed or fine-tuned is (brief description or link):*
If you like, please tell us about your most challenging ML code that you have dealt with (please, share the GitHub link, if available):
Which distributed ML technique(s) have you used?

DDPModel ParellelismFSDPOther (please, specify)
What kind of dataset(s) do you use these days (e.g., images, time series)?*
3. Weather and climate science
I studied meteorology or a similar field.I have worked in Earth system science during my master/PhD thesis.I have worked with numerical Earth system models.
Which data format have I worked with (e.g., NetCDF, GRIB, Zarr)?*
Which evaluation metrics have you used to assess weather and climate models (e.g., RMSE, ACC, CRPS, MAE)?*
Which field best matches your expertise?*

WeatherClimateOther (please, specify)
Here are my ideas for topics I would like to work on during the hackathon (max 200 words):

0/200
Do you have any comments or questions?
Type in here or write directly to info@cesoc.net
If you are selected to participate in the Hackathon, we will get in touch with you regarding the exact agenda and further details by the end of April.
Should be Empty:

Hackathon on Machine Learning for the Earth System

1. Programming and HPC experience

2. ML experience

3. Weather and climate science