[ES_JOBS_NET] Postdoctoral Research Scientist Positions - Climate Science & Data Science

[Aileen Goldberg]

*Multiple Postdoctoral Positions***

*National Science Foundation Science and Technology Center*

*Learning the Earth with Artificial Intelligence and Physics (LEAP)*

*2021-2026*

*_https://leap.columbia.edu/_*

**

Multiple Postdoctoral Positions are available at the interface of 
climate science and data science at Columbia University, the University 
of California Irvine, and the National Center for Atmospheric Research 
(NCAR).

The recently awarded 2021 National Science Foundation Science and 
Technology Center Learning the Earth with Artificial Intelligence and 
Physics (LEAP) aims to develop next-generation climate modeling by 
developing and applying modern data science algorithms to climate 
science. LEAP is a joint effort between Columbia University, the 
University of California Irvine, New York University, The University of 
Minnesota, Teachers College, NASA Goddard Institute for Space Studies 
(GISS), and NCAR.

LEAP’s primary research objective is to improve near-term climate 
projections by merging physical modeling with machine learning across a 
continuum from expertise in climate science and climate modeling to 
cutting-edge machine learning algorithms. Climate scientists and 
modelers have not yet fully integrated the wealth of existing datasets 
into their models, and while machine learning algorithms have been good 
at emulating and interpolating, they have difficulties extrapolating or 
predicting extremes. By combining these approaches, LEAP will trigger a 
significant advancement for data science algorithms applied to physical 
problems. LEAP aims to incorporate physics and causal mechanisms into 
machine learning algorithms for better generalization and extrapolation, 
while optimally using the wealth of data available to climate science, 
in order to better predict the future climate on time scales relevant to 
adaptation.

The hired postdocs and engineer will be part of a burgeoning 
transdisciplinary team at the interface between machine learning/data 
science and climate sciences, including research scientists, faculty 
members, PhD students, undergraduate and Bridge-to-PhD researchers. We 
are specifically looking for postdocs and one integration engineer in 
the areas of:

●Statistical methods for space-time representational learning and 
modeling <https://apply.interfolio.com/105283>

●Warm rain microphysics emulation <https://apply.interfolio.com/105773>

●Machine Learning for Robust Ice Microphysics Emulation 
<https://apply.interfolio.com/105777>

●Parameter Estimation and Uncertainty Quantification for the CLM 
<https://apply.interfolio.com/105010>

●Climate model parameter tuning aided by machine learning 
<https://apply.interfolio.com/103545>

●Learning new Ice Sheet Sliding Laws 
<https://academic.careers.columbia.edu/#!/93731>**

One of the primary goals of LEAP is to increase the diversity in 
geosciences and data science, to be on par with the US population by the 
end of the Center lifetime. The Center will take proactive steps to 
reach its diversity goal. We thus particularly welcome applicants from 
underrepresented groups.

First review of applications will start on May 13, 2022. Applications 
will be accepted until the positions are filled.

Applicants should apply to their specific position of interest but are 
welcome to apply to multiple positions.

For further information about these positions and to submit your 
applications and other required documents, please visit our application 
site using the following link(s):

https://academic.careers.columbia.edu/#!/94584

https://academic.careers.columbia.edu/#!/94587

-- 
*Aileen Goldberg*(she/her)
/Talent Manager
/
THE CLIMATE SCHOOL | COLUMBIA UNIVERSITY
Lamont-Doherty Earth Observatory
O: 845.365.8357 | C: 917.991.5925
www.climate.columbia.edu <https://www.climate.columbia.edu>
www.lamont.columbia.edu <https://lamont.columbia.edu>
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