<html 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=Windows-1252">
<meta name="Generator" content="Microsoft Word 15 (filtered medium)">
<style><!--
/* Font Definitions */
@font-face
{font-family:"Cambria Math";
panose-1:2 4 5 3 5 4 6 3 2 4;}
@font-face
{font-family:Aptos;}
/* Style Definitions */
p.MsoNormal, li.MsoNormal, div.MsoNormal
{margin:0in;
font-size:12.0pt;
font-family:"Aptos",sans-serif;
mso-ligatures:standardcontextual;}
a:link, span.MsoHyperlink
{mso-style-priority:99;
color:#467886;
text-decoration:underline;}
span.EmailStyle17
{mso-style-type:personal-compose;
font-family:"Aptos",sans-serif;
color:windowtext;}
.MsoChpDefault
{mso-style-type:export-only;}
@page WordSection1
{size:8.5in 11.0in;
margin:1.0in 1.0in 1.0in 1.0in;}
div.WordSection1
{page:WordSection1;}
--></style>
</head>
<body lang="EN-US" link="#467886" vlink="#96607D" style="word-wrap:break-word">
<div class="WordSection1">
<p class="MsoNormal"><span style="font-size:11.0pt;mso-ligatures:none">The Electric Power Research Institute (EPRI) is hiring a Climate AI Summer Intern to join our Climate Resilience Analysis team. This fully-remote, paid internship is a strong fit for PhD
students interested in applying machine learning and AI to earth systems research and real-world climate risk challenges in the electricity sector.
<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;mso-ligatures:none"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;mso-ligatures:none">You will work with a collaborative team of approximately 10 researchers who partner closely with industry, academia, and local, state, and federal governments. The internship offers the
opportunity to contribute directly to EPRI’s established research portfolio on climate risk and resilience, including efforts to characterize historical and projected weather and climate trends, assess climate-driven impacts, and conduct quantitative climate
risk analyses that inform adaptation planning and resilience strategies for energy systems.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;mso-ligatures:none"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;mso-ligatures:none">Ideal candidates are PhD students with experience applying AI or ML methods to earth science or climate-related research topics, strong quantitative and coding skills (particularly in Python),
and familiarity with historical meteorological and/or projected hydroclimate datasets. Start date and work schedule are flexible, and applications will be reviewed as they are received.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;mso-ligatures:none"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;mso-ligatures:none">Learn more about EPRI’s climate resilience work:
<a href="https://climatereadi.epri.com/">https://climatereadi.epri.com/</a> <o:p>
</o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;mso-ligatures:none">Apply here:
<a href="https://vhr-epri.wd1.myworkdayjobs.com/epricareers/job/RemoteHome-Based/Climate-AI-Student-Researcher_REQ-3890">
https://vhr-epri.wd1.myworkdayjobs.com/epricareers/job/RemoteHome-Based/Climate-AI-Student-Researcher_REQ-3890</a>
<o:p></o:p></span></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;mso-ligatures:none"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt">Thanks,<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt">Delavane<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt"> <o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt">Delavane Diaz, PhD<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt">Program Manager, Climate Resilience Analysis<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt">EPRI <a href="https://esca.epri.com/">
<span style="color:#0563C1">Energy Systems & Climate Analysis</span></a><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt">www.epri.com<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><o:p> </o:p></p>
</div>
*** This email message is for the sole use of the intended recipient(s) and may contain information that is confidential, privileged or exempt from disclosure under applicable law. Unless otherwise expressed in this message by the sender or except as may be
allowed by separate written agreement between EPRI and recipient or recipient’s employer, any review, use, distribution or disclosure by others of this message is prohibited and this message is not intended to be an electronic signature, instrument or anything
that may form a legally binding agreement with EPRI. If you are not the intended recipient, please contact the sender by reply email and permanently delete all copies of this message. Please be advised that the message and its contents may be disclosed, accessed
and reviewed by the sender's email system administrator and/or provider. ***
</body>
</html>