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ashesh6810.bsky.social
Scientific ML, ML theory, ML for climate, fluids, dynamical systems. Asst. Prof of Applied Math at UCSC. https://sites.google.com/view/ashesh6810/home
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I am hiring for a #postdocposition for scientific ML + climate dynamics. Folks with deep learning, scientific computing skills; preferably some background in climate, please reach out! This is part of an #NSF project in collaboration with Nicole Feldl and Geoff Vallis. recruit.ucsc.edu/JPF01844

We have released a new pre-print on AI-based long-term regional ocean modeling and downscaling. arxiv.org/abs/2501.05058. This is work led by my PhD students Lenny and Moein with collaborators Roy He, Michael Gray, and Tianning Wu at NCSU and Subhashis Hazarika and Anthony Wong at Fujitsu Research

If you are around at #AGU2024 and interested in ML for climate, please check out these talks from my group and collaborators. 1. Biases, instability, hallucinations in ML emulators of weather and climate. agu.confex.com/agu/agu24/me.... You can also see our paper here: arxiv.org/abs/2304.07029 1/5

Arvind, me, and Jonah released a new pre-print on some pen and paper analysis of fundamental failure modes and old school stability analysis for neural PDEs typically used in AI for Science application. arxiv.org/abs/2411.15101. 1/n

I am hiring for a #postdocposition for scientific ML + climate dynamics. Folks with deep learning, scientific computing skills; preferably some background in climate, please reach out! This is part of an #NSF project in collaboration with Nicole Feldl and Geoff Vallis. recruit.ucsc.edu/JPF01844

Sr Director position (weather forecast) at UChicago's new Human-Centered Weather Forecasting Initiative. Unique opportunity to lead an interdisciplinary team to generate AI- & physics-based forecasts, particularly to support communities most vulnerable to climate variability.