Meet EarthNet at EGU24!
We are at EGU24!
We are hiring an ML Engineer, that will support our ML pipeline on self-supervised learning of the Earths’ Biosphere.
You’d be joining a dynamic and international team at the intersection of Climate Science and large-scale Deep Learning, based in the lively German city Jena.
Requirements are mainly a solid background in PyTorch and a MSc or PhD (the latter optional). Please check the announcement (link below) for further details 🙂
If you are interested and have some questions, feel free to reach out to us by e-mail {vbenson, crobin} (at) bgc-jena (dot) mpg (dot) de !
Especially encouraging female machine learners and those from underrepresented groups to apply! Looking forward hearing from you!
We are at EGU24!
Our recent work on Multi-modal learning for geospatial vegetation forecasting has been accepted at CVPR!
We are hiring an ML Engineer, that will support our ML pipeline on self-supervised learning of the Earths’ Biosphere.
We are contributing to the WCRP Open Science Conference happening later this year in Kigali, Rwanda.
We are in Geneva!
We are at EGU23!
We are at NeurIPS 2022! Our pilot study in Africa, Learning to forecast vegetation greenness at fine resolution over Africa with ConvLSTMs got accepted at t...
We are happy to announce an updated dataset: EarthNet2021x! It has some extras (that is what x stands for): Files are now netCDF (having proper georefere...
We are at CVPR! Our extended paper EarthNet2021: A large-scale dataset and challenge for Earth surface forecasting as a guided video prediction task got acc...
We are at EGU / vEGU21! Christian Requena-Mesa will give a vPICO on “EarthNet2021: Self-supervised impact predictions of extreme weather.” at Session NP5.2 ...
We are introducing EarthNet2021 at NeurIPS!