<html xmlns:v="urn:schemas-microsoft-com:vml" xmlns:o="urn:schemas-microsoft-com:office:office" xmlns:w="urn:schemas-microsoft-com:office:word" xmlns:m="http://schemas.microsoft.com/office/2004/12/omml" xmlns="http://www.w3.org/TR/REC-html40"><head><meta http-equiv=Content-Type content="text/html; charset=us-ascii"><meta name=Generator content="Microsoft Word 15 (filtered medium)"><style><!--
/* Font Definitions */
@font-face
{font-family:Helvetica;
panose-1:2 11 6 4 2 2 2 2 2 4;}
@font-face
{font-family:"Cambria Math";
panose-1:2 4 5 3 5 4 6 3 2 4;}
@font-face
{font-family:Calibri;
panose-1:2 15 5 2 2 2 4 3 2 4;}
/* Style Definitions */
p.MsoNormal, li.MsoNormal, div.MsoNormal
{margin:0in;
margin-bottom:.0001pt;
font-size:11.0pt;
font-family:"Calibri",sans-serif;}
a:link, span.MsoHyperlink
{mso-style-priority:99;
color:#0563C1;
text-decoration:underline;}
a:visited, span.MsoHyperlinkFollowed
{mso-style-priority:99;
color:#954F72;
text-decoration:underline;}
span.EmailStyle17
{mso-style-type:personal-compose;
font-family:"Calibri",sans-serif;
color:windowtext;}
.MsoChpDefault
{mso-style-type:export-only;
font-family:"Calibri",sans-serif;}
@page WordSection1
{size:8.5in 11.0in;
margin:1.0in 1.0in 1.0in 1.0in;}
div.WordSection1
{page:WordSection1;}
--></style><!--[if gte mso 9]><xml>
<o:shapedefaults v:ext="edit" spidmax="1026" />
</xml><![endif]--><!--[if gte mso 9]><xml>
<o:shapelayout v:ext="edit">
<o:idmap v:ext="edit" data="1" />
</o:shapelayout></xml><![endif]--></head><body lang=EN-US link="#0563C1" vlink="#954F72"><div class=WordSection1><p class=MsoNormal><span style='font-size:12.0pt;font-family:"Times New Roman",serif'>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.</span><o:p></o:p></p><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'><span style='font-size:12.0pt;font-family:"Times New Roman",serif'>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. </span><o:p></o:p></p><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'><span style='font-size:12.0pt;font-family:"Times New Roman",serif'>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.</span> <span style='font-size:12.0pt;font-family:"Times New Roman",serif'>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.</span> <span style='font-size:12.0pt;font-family:"Times New Roman",serif'>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.</span><span style='font-family:"Times New Roman",serif'> </span><span style='font-size:12.0pt;font-family:"Times New Roman",serif'>Applicants should apply online at </span><a href="https://www.princeton.edu/acad-positions/position/28201" target="_blank"><span style='font-size:12.0pt;font-family:"Times New Roman",serif'>https://www.princeton.edu/acad-positions/position/28201</span></a><span style='font-size:12.0pt;font-family:"Times New Roman",serif'>.</span><o:p></o:p></p><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'><span style='font-size:12.0pt;font-family:"Times New Roman",serif'>For more information about the research project and application process, please contact Lucas Harris at </span><a href="mailto:lucas.harris@noaa.gov"><span style='font-size:12.0pt;font-family:"Times New Roman",serif;color:#1155CC'>lucas.harris@noaa.gov</span></a><span style='font-size:12.0pt;font-family:"Times New Roman",serif'>. The position is subject to the University’s background check policy. </span><o:p></o:p></p><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'><span style='font-size:12.0pt;font-family:"Times New Roman",serif'>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.</span><o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><span style='font-size:13.5pt;font-family:"Helvetica",sans-serif;color:black'>Anna Valerio :8)<br>Princeton University<br>AOS Program<br>300 Forrestal Road, 209 Sayre Hall<br>Princeton, NJ 08540<br>phone: 609-258-6677<br>fax: 609-258-2850<br><a href="mailto:apval@princeton.edu">e-mail: apval@princeton.edu</a><o:p></o:p></span></p><p class=MsoNormal><span style='font-size:13.5pt;font-family:"Helvetica",sans-serif;color:black'><o:p> </o:p></span></p><p class=MsoNormal><o:p> </o:p></p></div></body></html>