We are hiring an Machine Learning Enginer!

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 !

Apply here!

Especially encouraging female machine learners and those from underrepresented groups to apply! Looking forward hearing from you!

2024

New Paper at CVPR 2024!

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Our recent work on Multi-modal learning for geospatial vegetation forecasting has been accepted at CVPR!

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2023

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2022

Meet EarthNet at NeurIPS 2022!

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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...

Updated Dataset: EarthNet2021x!

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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...

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2021

Meet EarthNet2021 at CVPR EarthVision!

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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...

Meet EarthNet2021 at EGU!

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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 ...

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2020

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