met-jobs@lists.reading.ac.uk
April 2019
Message 99

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[Met-jobs] Artificial Intelligence/Machine Learning PostDoc Position at University of California San Diego

From Anna Wilson <anna-m-wilson@ucsd.edu>
To met-jobs@lists.reading.ac.uk
Date Wed, 24 Apr 2019 22:52:40 -0700

Hello all,

The Center for Western Weather and Water Extremes (CW3E; cw3e.ucsd.edu), Scripps Institution of Oceanography, University of California San Diego, is looking for a new data science post-doctoral scholar with a strong background in artificial intelligence (AI), machine learning, and computational science to develop novel methods for the prediction of precipitation and atmospheric river-related quantities (e.g., Integrated Water Vapor Transport – IVT) over the Western U.S. and from weather (0-10 days) to subseasonal-to-seasonal (S2S; weeks to months) scales. The successful candidate will develop novel approaches based on AI techniques, possibly in combination with traditional postprocessing techniques, to significantly improve both deterministic and probabilistic predictions based on dynamical models for the quantities and at the spatiotemporal scales mentioned above. In addition to the coding expertise mentioned above, experience with as AI-specific software platforms (Tensorflow, Keras, CNTK, PyTorch, Scikit-Learn, etc.) and working on cloud computing environments (AWS, Azure, etc.) is desirable.

Please see attachment for detailed information about the position.  Applications (CV, cover letter, and three references) and questions should be sent to Luca Delle Monache (ldellemonache@ucsd.edu). Apologies for any cross-posting and thank you for your attention!

Best regards,
Anna

--
Anna M. Wilson, Ph.D.

Field Research Manager, Center for Western Weather and Water Extremes (CW3E)
Scripps Institution of Oceanography
University of California San Diego

address 9500 Gilman Drive #0230, La Jolla, CA  92093-0230 
email     anna-m-wilson@ucsd.edu
web       cw3e.ucsd.edu
phone   office: (858) 534-3327, cell: (315) 420-1002

Attachment: AI_ML_PostDoc_April2019.pdf
Description: Adobe PDF document



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