[ES_JOBS_NET] Computational Scientist position on Python-based ML-enabled weather and climate modeling, Princeton, NJ

[christine.wiedinmyer.ucar at gmail.com]

The Atmospheric and Oceanic Sciences Program at Princeton University, in
cooperation with NOAA's Geophysical Fluid Dynamics Laboratory (GFDL), seeks
a computational scientist/scientific programmer to assist our scientists
working to integrate a computationally-advanced Python-based
machine-learning (ML) augmented atmosphere model into the existing GFDL
modeling system. The goal is to permit ML-powered improvements to our models
and to incorporate new diagnostics and use cases for this system.  This
project is funded by the NOAA Technology Incubator of the National Oceanic
and Atmospheric Administration's Office of the Chief Information Officer.

The successful applicant will work with Lucas Harris at GFDL and Chris
Bretherton and Oliver Fuhrer at the Allen Institute for Artificial
Intelligence (AI2), and will work closely with other scientists in GFDL's
Weather and Climate Dynamics Division and at AI2. This computational
scientist will port AI2's Python-wrapped climate model workflow into GFDL's
System for High-resolution prediction on Earth-to-Local Domains (SHiELD) and
set up the AI2 machine-learning workflow on a NOAA computing system. The
applicant will then work to update the model with the newest version of
SHiELD's codes and continue to integrate new updates to SHiELD and in AI2's
ML workflow. This applicant will then assist GFDL and AI2 scientists in
applying the ML-augmented model to scientific problems of interest. 

Scientists or engineers with a strong background in software engineering,
computer science, computational science, high-performance computing, machine
learning, mathematics, or physics are encouraged to apply. Knowledge of both
Python and Fortran will be extremely useful, as will some experience with
hydrodynamic codes or numerical models, and machine learning software.
Applicants should have strong experience working in a collaborative
environment and an ability to learn new technologies. This is a one-year
position with potential for renewal based on candidate performance and
continued funding. Candidates should have at least a Master's degree in an
appropriate field, including but not limited to computer science,
mathematics, physics, atmospheric science, or engineering.  Complete
applications include a CV, publication list, and 2 letters of
recommendation. Review of applications will begin immediately and continue
until the position is filled. Princeton is interested in candidates who,
through their research, will contribute to the diversity and excellence of
the academic community. Applicants should apply online at
<https://www.princeton.edu/acad-positions/position/28201>
https://www.princeton.edu/acad-positions/position/28201.

For more information about the research project and application process,
please contact Lucas Harris at  <mailto:lucas.harris at noaa.gov>
lucas.harris at noaa.gov. The position is subject to the University's
background check policy. 

Princeton University is an Equal Opportunity/Affirmative Action Employer and
all qualified applicants will receive consideration for employment without
regard to age, race, color, religion, sex, sexual orientation, gender
identity or expression, national origin, disability status, protected
veteran status, or any other characteristic protected by law.

 

Anna Valerio :8)
Princeton University
AOS Program
300 Forrestal Road, 209 Sayre Hall
Princeton, NJ 08540
phone:  609-258-6677
fax: 609-258-2850
e-mail: <mailto:apval at princeton.edu>   apval at princeton.edu

 

 

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