<div dir="ltr"><div dir="ltr" class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><p class="MsoNormal" style="margin:0in;line-height:115%"><b style=""><u style=""><span lang="EN" style=""><font face="arial, sans-serif" style="">The
UCLA Center for Climate Science has an opening for:</font></span></u></b></p>
<p class="MsoNormal" style="margin:0in;line-height:115%"><b><span lang="EN"><font face="arial, sans-serif">POSTDOCTORAL
RESEARCHER IN MACHINE LEARNING AND CLIMATE</font></span></b></p>
<p class="MsoNormal" style="margin:0in;line-height:115%"><span lang="EN"><font face="arial, sans-serif"> </font></span></p>
<p class="MsoNormal" style="margin:0in;line-height:115%"><span lang="EN"><font face="arial, sans-serif">The UCLA Center for Climate Science is
searching broadly for a talented postdoctoral scholar to work with Prof. Alex
Hall and his research group, contributing to research that utilizes machine
learning methods to better understand local to global climate variability and
change. The term would initially be for two years, but is renewable for at
least one additional year, contingent on funding and satisfactory progress.</font></span></p>
<p class="MsoNormal" style="margin:0in;line-height:115%"><span lang="EN" style="background:rgb(255,242,204)"><font face="arial, sans-serif"> </font></span></p>
<p class="MsoNormal" style="margin:0in;line-height:115%"><span lang="EN"><font face="arial, sans-serif">The postdoctoral researcher will have freedom
to pursue projects of mutual benefit, and will generally employ various
explainable AI/ML techniques to address questions related to shifts in average
climate conditions and the frequency of extreme weather events. Data sources include observations, global
climate model output, and dynamically downscaled data at the regional scale
across the United States. (The group has generated an unprecedented trove of
multi-model regional high resolution future climate change projections.) These
methodologies will be utilized to enhance the transparency and interpretability
of predictive models dealing with complex climate data. Possible research areas
include detection and attribution of hydroclimate signals, enlargement of high
resolution regional ensembles through AI-based downscaling, building frameworks
for reducing uncertainty in climate model projections, isolating the role that
different climate forcings (e.g. aerosols) exert on recent trends, and
improving predictability of hydroclimate change on annual to decadal
time-scales. <br>
</font></span></p>
<p class="MsoNormal" style="margin:0in;line-height:115%"><span lang="EN"><font face="arial, sans-serif">Applicants must have a Ph.D. in
Atmospheric/Climate Sciences, Computer/Data Science, or a related field.
Experience using both climate models and a variety of machine learning packages
(e.g. TensorFlow, PyTorch, Scikit-learn). Coursework or publications specific
to climate research is preferred. The successful applicant will demonstrate
independence in research, exceptional problem-solving skills, strong verbal
and/or written communication, and the ability/desire to work effectively in a
team. Strong programming skills (Python preferred) with emphasis on
open-source, version control best-practices, documentation, and collaborative
projects are expected. Lastly, candidates with experience using Linux-based
high-performance computing clusters are preferred as this position will benefit
from the NCAR-Wyoming Supercomputer Center which houses a 20 PFLOP
CPU+GPU-capable machine.</font></span></p>
<p class="MsoNormal" style="margin:0in;line-height:115%"><span lang="EN" style="background:yellow"><font face="arial, sans-serif"> </font></span></p>
<p class="MsoNormal" style="margin:0in;line-height:115%"><b><span lang="EN"><font face="arial, sans-serif">How to
Apply:</font></span></b></p>
<p class="MsoNormal" style="margin:0in;line-height:115%"><span lang="EN"><font face="arial, sans-serif">Applicants should submit (1) a statement of
research interests and goals, no longer than one page, (2) a complete CV,
including contact information for three references, and (3) a cover letter that
discusses alignment with the mission of the Center for Climate Science. <span style="background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">Efforts and interest in action
around climate change, sustainability</span>, and diversity and inclusion in
STEM are especially welcome. These materials should be addressed to Elease
Stemp at <span style="color:black;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><a href="mailto:RecruitCCS@atmos.ucla.edu">RecruitCCS@atmos.ucla.edu</a></span>.
Please identify the position in the subject header and mention where you saw
this posting in the body of the email. Consideration of applications will begin
in May 2024 and continue until the position is filled. The applicant should
ideally be available to start by the fall of 2024.<span style="background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"> </span><s><span style="background:yellow"></span></s></font></span></p>
<p class="MsoNormal" style="margin:0in;line-height:115%"><span lang="EN"><font face="arial, sans-serif"> </font></span></p>
<p class="MsoNormal" style="margin:0in;line-height:115%"><b><span lang="EN"><font face="arial, sans-serif">Benefits
of working at the Center for Climate Science at UCLA:</font></span></b></p>
<p class="MsoNormal" style="margin:0in;line-height:115%"><span lang="EN"><font face="arial, sans-serif">We are a diverse and collaborative team of
scientists, dedicated and mission-driven to improve regional resilience to
climate change by producing and sharing impact-relevant climate data and
analyses. Your efforts in support of this work will expedite our delivery of
these important benefits for California and beyond.</font></span></p>
<p class="MsoNormal" style="margin:0in;line-height:115%"><span lang="EN"><font face="arial, sans-serif"> </font></span></p>
<p class="MsoNormal" style="margin:0in;line-height:115%"><span lang="EN"><font face="arial, sans-serif">The University of California is an Equal
Opportunity/Affirmative Action Employer. All qualified applicants will receive
consideration for employment without regard to race, color, religion, sex,
sexual orientation, gender identity, national origin, disability, age or
protected veteran status. For the complete University of California
nondiscrimination and affirmative action policy, please follow this link:<a href="http://policy.ucop.edu/doc/4000376/NondiscrimAffirmAct"><span style="color:windowtext;text-decoration-line:none"> </span></a><a href="http://policy.ucop.edu/doc/4000376/NondiscrimAffirmAct"><span style="color:windowtext">http://policy.ucop.edu/doc/4000376/NondiscrimAffirmAct</span></a>.</font></span></p>
<p class="MsoNormal" style="margin:0in;line-height:115%"><span lang="EN"><font face="arial, sans-serif"> </font></span></p>
<p class="MsoNormal" style="margin:0in;line-height:115%"><span lang="EN" style=""><font face="arial, sans-serif" style="">For more about Prof. Hall’s research
activities, visit<a href="http://www.atmos.ucla.edu/csrl" style=""><span style="color:windowtext;text-decoration-line:none"> </span></a><a href="http://www.atmos.ucla.edu/csrl" style=""><span style="color:windowtext">http://dept.atmos.ucla.edu/alexhall</span></a>
and<a href="http://www.ioes.ucla.edu/climate" style=""><span style="color:windowtext;text-decoration-line:none"> </span></a><a href="http://www.ioes.ucla.edu/climate" style=""><span style="color:windowtext">www.ioes.ucla.edu/climate<br></span></a></font></span></p></div></div></div>