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<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto"><b><span style="font-size:13.5pt;font-family:"Helvetica Neue";letter-spacing:-.05pt">Postdoctoral Research Associate in Computational Earth Sciences<o:p></o:p></span></b></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto"><span style="font-size:10.5pt;font-family:"Helvetica Neue"">Requisition Id 2946<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto"><a href="https://jobs.ornl.gov/job/Oak-Ridge-Postdoctoral-Research-Associate-in-Computational-Earth-Sciences-TN-37831/643448400/">https://jobs.ornl.gov/job/Oak-Ridge-Postdoctoral-Research-Associate-in-Computational-Earth-Sciences-TN-37831/643448400/</a><span style="font-size:10.5pt;font-family:"Helvetica Neue""><o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto"><b><span style="font-size:10.5pt;font-family:"Helvetica Neue"">Overview:</span></b><span style="font-size:10.5pt;font-family:"Helvetica Neue""><o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto"><span style="font-size:10.5pt;font-family:"Helvetica Neue"">The Computational Earth Sciences Group (CESG) at the Oak Ridge National Laboratory (ORNL) is seeking a qualified postdoctoral
candidate in the fields of Computational Earth Sciences and Artificial Intelligence (AI) with a strong background in computational sciences, applied mathematics, statistics and Earth sciences. ORNL’s CESG conducts world-class research and development in Earth
system modeling, large scale data analytics and machine learning (ML), and model-data integration at the US Department of Energy’s (DOE’s) Leadership Class Computing Facilities (LCFs).<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto"><b><span style="font-size:10.5pt;font-family:"Helvetica Neue"">Major Duties/Responsibilities:</span></b><span style="font-size:10.5pt;font-family:"Helvetica Neue""><o:p></o:p></span></p>
<ul type="disc">
<li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l1 level1 lfo1">
<span style="font-size:10.5pt;font-family:"Helvetica Neue"">Work with the AI research team to develop ML and data analytics algorithms, including high-dimensional optimization, uncertainty quantification (UQ), and data-efficient AI/ML algorithms for scientific
applications.<o:p></o:p></span></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l1 level1 lfo1">
<span style="font-size:10.5pt;font-family:"Helvetica Neue"">Develop computational scalability and performance of ML algorithms and large-scale Earth system models, including the scaling of algorithms and simulation models and HPC implementations.<o:p></o:p></span></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l1 level1 lfo1">
<span style="font-size:10.5pt;font-family:"Helvetica Neue"">Collaborate with a diverse team of Earth system and computational scientists, both within the CESG and across DOE Labs and partner universities, to apply AI/ML algorithms and UQ methods aimed at enhancing
predictive understanding of the Earth system.<o:p></o:p></span></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l1 level1 lfo1">
<span style="font-size:10.5pt;font-family:"Helvetica Neue"">Develop physics-informed ML algorithms, including effective and realistic surrogate modeling and physics-data-integrated hybrid modeling.<o:p></o:p></span></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l1 level1 lfo1">
<span style="font-size:10.5pt;font-family:"Helvetica Neue"">Publish research in peer-reviewed journals and present results at national and international conferences.<o:p></o:p></span></li></ul>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto"><b><span style="font-size:10.5pt;font-family:"Helvetica Neue"">Basic Qualifications:</span></b><span style="font-size:10.5pt;font-family:"Helvetica Neue""><o:p></o:p></span></p>
<ul type="disc">
<li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l2 level1 lfo2">
<span style="font-size:10.5pt;font-family:"Helvetica Neue"">A Ph.D. degree in Geosciences, computational sciences or a related field.<o:p></o:p></span></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l2 level1 lfo2">
<span style="font-size:10.5pt;font-family:"Helvetica Neue"">Research experience in AI/ML and geoscientific modeling.<o:p></o:p></span></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l2 level1 lfo2">
<span style="font-size:10.5pt;font-family:"Helvetica Neue"">Experience in HPC, particularly as applied to AI/ML algorithm and large-scale models.<o:p></o:p></span></li></ul>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto"><b><span style="font-size:10.5pt;font-family:"Helvetica Neue"">Preferred Qualifications:</span></b><span style="font-size:10.5pt;font-family:"Helvetica Neue""><o:p></o:p></span></p>
<ul type="disc">
<li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo3">
<span style="font-size:10.5pt;font-family:"Helvetica Neue"">Knowledge of uncertainty quantification methods and AI/ML algorithms.<o:p></o:p></span></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo3">
<span style="font-size:10.5pt;font-family:"Helvetica Neue"">Experience with data manipulation and analysis packages.<o:p></o:p></span></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo3">
<span style="font-size:10.5pt;font-family:"Helvetica Neue"">Experience with the Linux operating system, LaTeX, Git, Python, and Fortran and/or C/C++.<o:p></o:p></span></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo3">
<span style="font-size:10.5pt;font-family:"Helvetica Neue"">Collaborative research capabilities as demonstrated by existing peer reviewed publications and technical proposals.<o:p></o:p></span></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo3">
<span style="font-size:10.5pt;font-family:"Helvetica Neue"">Strongly motivated to perform and publish leading edge research.<o:p></o:p></span></li><li class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo3">
<span style="font-size:10.5pt;font-family:"Helvetica Neue"">Excellent verbal and written communication skills.<o:p></o:p></span></li></ul>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto"><span style="font-size:10.5pt;font-family:"Helvetica Neue"">Applicants cannot have received their Ph.D. more than five years prior to the date of application and must complete all
degree requirements before starting their appointment. The appointment length will be for up to 24 months with the potential for extension. Initial appointments and extensions are subject to performance and the availability of funding.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.5pt;font-family:"Helvetica Neue";color:black"><br>
<br>
</span><span style="font-size:12.0pt;font-family:"Times New Roman",serif"><o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto"><b><span style="font-size:10.5pt;font-family:"Helvetica Neue"">Technical Questions:</span></b><span style="font-size:10.5pt;font-family:"Helvetica Neue""><o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto"><span style="font-size:10.5pt;font-family:"Helvetica Neue"">Please contact Dan Lu lud1@ornl.gov, David Womble womblede@ornl.gov, Forrest Hoffman forrest@climatemodeling.org.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:10.5pt;font-family:"Helvetica Neue";color:black"><br>
<br>
</span><span style="font-size:12.0pt;font-family:"Times New Roman",serif"><o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto"><span style="font-size:10.5pt;font-family:"Helvetica Neue"">This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified
and/or hired.<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto"><span style="font-size:10.5pt;font-family:"Helvetica Neue"">We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size.
Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment.<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto"><span style="font-size:10.5pt;font-family:"Helvetica Neue""><br>
If you have trouble applying for a position, please email ORNLRecruiting@ornl.gov.<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto"><span style="font-size:10.5pt;font-family:"Helvetica Neue""><br>
ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.<o:p></o:p></span></p>
<p class="MsoNormal"><o:p> </o:p></p>
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