Extremely excited to announce that I am the incoming chair for the AMS AI STAC Committee! Looking forward to leading our committee alongside @zhonghuazheng.bsky.social and @tropmetpie.bsky.social
We are seeking new members to join the AI STAC, including both regular and student members.
Get ahead of the curve! The official posting is coming soon, but we're eager to connect with talented candidates now. DM to discuss the role or share your profile.
#MachineLearning #ClimateScience #AIResearch #WeatherAI #DataScience #GenerativeAI #ResearchJobs
-Track record of applying ML to weather and climate science
-Drive to push the boundaries of environmental AI applications
Bonus expertise:
-Experience with multi-modal weather datasets
-Hands-on work with generative AI and transformer architectures
We're seeking a motivated Machine Learning Scientist to join our research team at RWE AI Research Lab in Seattle/Bellevue area (Hard requirement of relocation).
Ideal candidates will bring:
-Strong foundation in Computer Science, AI, or Applied Mathematics
Congratulations to the best PhD advisor one can get! You totally deserve it @70dbz.bsky.social and more! Keep inspiring us! 🎊
I am looking forward to attend and present at the 105th @ametsoc.bsky.social Annual Meeting in New Orleans next week! Feel free to reach out to connect to talk about weather, AI, and working in industry! See you all next week at NOLA! 🍻#AMS2025
If interested in reading about it in detail, please have a look at our arxiv article here:
arxiv.org/abs/2408.10958
Check out and play with our convection-allowing GenAI emulator called StormCast as part of the recent updates to NVIDIA’s open source Modulus library. The model emulates HRRR with preconditioning from ERA5 to generate high-res forecasts over central US. #GenAI
docs.nvidia.com/deeplearning...
Haha this is surely fun! 😂
I’m hiring a Postdoc for ethics and risk management of AI for weather and climate. I’ll be at AGU and AMS you want to talk to me about it! #weather #academicsky
Yes it is indeed a large array with quite a good number of channels and thus we went with zarr. I think zarr is of course more optimized for large tensors but the benefit also shows up in smaller tensors as they are easily scalable data format, similar to HDF.
We have been experimenting with NVIDIA DALI for deep learning training and inference work with Pytorch and zarr-enabled data loaders. It really has optimized our training and inference pipeline.
github.com/NVIDIA/DALI
Would be happy to be a part of it! 🙂
I wish to specially thank @mikepritchard.bsky.social for giving me the opportunity to work with and learn from his team at NVIDIA. I surely have learnt so much during one year of my postdoc tenure here at NVIDIA. 🙏🏽
I am super excited to announce that I will be starting as a senior AI weather scientist at RWE AI lab very soon. I will be joining an incredible team of folks such as @briane678.bsky.social and @lmadaus.bsky.social, who are doing some awesome work in AI for weather domain. 🍻 to the new beginnings!
Will be happy to be on the list! 🙂
There definitely are a bunch of ML based air quality models out there right now. I believe Microsoft’s Aurora also has that capability if you want to give it a try! 🙂
@jlin96.bsky.social has curated an awesome list of people who are working at the intersection of AI and Earth system science. Thanks for including me and feel free to follow all the awesome folks in this starter pack!
Thank you Katharine! That sounds wonderful! 🙏🏽
Hey Nathanael! I guess it was about time 😂
Well finally moving from X to bluesky. Hoping to have sane and better interactions with the scientific community here. Cheers!