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<p class="x_MsoNormal" style="line-height:18.4px; font-size:medium"><b><span style="font-family:"Times New Roman",serif">Postdoctoral Research Position in Physics-informed Machine Learning for Climate Extremes </span></b></p>
<p class="x_MsoNormal" style="line-height:18.4px; font-size:medium"><span style="font-family:"Times New Roman",serif">The Climate Risk and Extreme Dynamics Lab at the Georgia Institute of Technology invites applications for a highly motivated postdoctoral research
position focused on advancing physics-informed machine learning techniques for the prediction and risk assessment of climate extremes, particularly hurricanes and their associated multi-hazards (e.g., storm surge, extreme rainfall, compound flooding, and cascading
impacts). The successful candidate will contribute to a project funded by the Sandia National Laboratories, focused on integrating physics-based models with state-of-the-art deep learning architectures. The overarching goal is to enhance short-term forecasting
and long-term risk prediction of hurricane-induced multi-hazards and their compounding </span><span style="font-family:"Times New Roman",serif">and</span><span style="font-family:"Times New Roman",serif"> cascading impacts under a changing climate. The project
leverages advanced machine learning techniques—including transformer networks, diffusion models, and graph neural networks—to improve multi-hazard predictions, while also incorporating reinforcement learning to develop and evaluate adaptation strategies that
support science-informed decision-making under deep uncertainty.</span></p>
<p class="x_MsoNormal" style="line-height:18.4px; font-size:medium"><strong>Key Responsibilities</strong><span style="font-family:"Times New Roman",serif"></span></p>
<ul type="disc" style="margin-bottom:0in">
<li class="x_MsoNormal" style="line-height:normal"><span style="font-family:"Times New Roman",serif">Develop novel hybrid modeling frameworks that couple physics-based tropical cyclone simulations with advanced machine learning algorithms.</span></li><li class="x_MsoNormal" style="line-height:normal"><span style="font-family:"Times New Roman",serif">Investigate the predictability of hurricanes and their secondary impacts (e.g., flooding, infrastructure disruption, power outages), with a focus on enhancing
probabilistic forecasting, uncertainty quantification, and impact assessment.</span></li><li class="x_MsoNormal" style="line-height:normal"><span style="font-family:"Times New Roman",serif">Contribute to the preparation of peer-reviewed manuscripts, technical reports, and conference presentations.</span></li><li class="x_MsoNormal" style="line-height:normal"><span style="font-family:"Times New Roman",serif">Collaborate with interdisciplinary teams of faculty, postdoctoral researchers, and graduate students at Georgia Tech and affiliated institutions.</span></li><li class="x_MsoNormal" style="line-height:normal"><span style="font-family:"Times New Roman",serif">Pursue independent research ideas aligned with the group’s themes and seek opportunities for research proposal development.</span></li></ul>
<p class="x_MsoNormal" style="line-height:18.4px; font-size:medium"><span style="font-family:"Times New Roman",serif">The position is under the supervision of<span class="x_apple-converted-space"> </span><strong>Dr. Ali Sarhadi</strong>, and the researcher
will be supported with mentorship in professional development areas including research design, scientific communication, grant writing, leadership, and academic job market preparation. To learn more about our group, please visit<span class="x_apple-converted-space"> </span></span><a href="https://www.sarhadilab.org/" target="_new"><span style="font-family:"Times New Roman",serif">www.sarhadilab.org</span></a><span style="font-family:"Times New Roman",serif">.</span></p>
<p class="x_MsoNormal" style="line-height:18.4px; font-size:medium"><b><span style="font-family:"Times New Roman",serif">Qualifications</span></b><span style="font-family:"Times New Roman",serif"></span></p>
<p class="x_MsoNormal" style="line-height:18.4px; font-size:medium"><span style="font-family:"Times New Roman",serif">Applicants should hold a Ph.D. in computer science, computational science and engineering, physics, applied mathematics, or a closely related
discipline. The ideal candidate will have demonstrated expertise in machine learning, with a particular focus on deep learning, and a strong preference will be given to those with experience in climate modeling and Earth system science applications. Extensive
experience with state-of-the-art machine learning methodologies is essential. Strong written and oral communication skills, along with a demonstrated record of peer-reviewed scientific publications, are also required. <b>Please note that U.S. citizenship is
a mandatory requirement to comply with the project’s funding terms.</b></span><span style="font-family:"Times New Roman",serif"></span></p>
<p class="x_MsoNormal" style="margin-bottom:6pt; line-height:18.4px; font-size:medium">
<b><span style="font-family:"Times New Roman",serif">Position Details</span></b></p>
<ul type="disc" style="margin-bottom:0in">
<li class="x_MsoNormal" style="line-height:normal"><span style="font-family:"Times New Roman",serif; color:windowtext">Start Date: </span><span style="font-family:"Times New Roman",serif">Anticipated</span><span style="font-family:"Times New Roman",serif; color:windowtext"> in
May 2025 </span><span style="font-family:"Times New Roman",serif">(flexible).</span></li><li class="x_MsoNormal" style="line-height:normal"><span style="font-family:"Times New Roman",serif; color:windowtext">Duration: </span><span style="font-family:"Times New Roman",serif">Initial</span><span style="font-family:"Times New Roman",serif; color:windowtext"> one-year
appointment</span><span style="font-family:"Times New Roman",serif">, with potential</span><span style="font-family:"Times New Roman",serif; color:windowtext"> renewal for a second year </span><span style="font-family:"Times New Roman",serif">based on performance
and continued funding.</span></li><li class="x_MsoNormal" style="line-height:normal"><span style="font-family:"Times New Roman",serif; color:windowtext">Salary: $65,000 per year</span><span style="font-family:"Times New Roman",serif">, inclusive of a</span><span style="font-family:"Times New Roman",serif; color:windowtext"> comprehensive
benefits package</span><span style="font-family:"Times New Roman",serif">.</span></li></ul>
<p class="x_MsoNormal" style="line-height:18.4px; font-size:medium"><b><span style="font-family:"Times New Roman",serif">Application Instruction</span></b><span style="font-family:"Times New Roman",serif"></span></p>
<p class="x_MsoNormal" style="margin-bottom:6pt; line-height:18.4px; font-size:medium">
<span style="font-family:"Times New Roman",serif">To apply, please send a single PDF by May 25th, 2025, to Dr. Ali Sarhadi at </span><a href="mailto:sarhadi@gatech.edu"><span style="font-family:"Times New Roman",serif">sarhadi@gatech.edu</span></a><span style="font-family:"Times New Roman",serif">,
containing the following:</span></p>
<ol start="1" type="1" style="margin-bottom:0in; margin-top:0in">
<li class="x_MsoNormal"><span style="font-family:"Times New Roman",serif">A cover letter detailing your interest in the position and qualifications.</span></li><li class="x_MsoNormal"><span style="font-family:"Times New Roman",serif">A curriculum vitae (CV).</span></li><li class="x_MsoNormal"><span style="font-family:"Times New Roman",serif">Contact information for 2-3 professional references.</span></li><li class="x_MsoNormal"><span style="font-family:"Times New Roman",serif">(Optional) A 1–2-page statement describing your research interests.</span></li></ol>
<p class="x_MsoNormal" style="line-height:18.4px; font-size:medium"><span style="font-family:"Times New Roman",serif">Prospective applicants are encouraged to reach out to Dr. Sarhadi with questions or to discuss potential alignment prior to submitting their
application.</span></p>
<p class="x_MsoNormal" style="line-height:18.4px; font-size:medium"><b><span style="font-family:"Times New Roman",serif">About Georgia Tech</span></b><span style="font-family:"Times New Roman",serif"><br>
The Georgia Institute of Technology is a leading public research university located in Atlanta, a vibrant, culturally diverse city with robust economic sectors. Serving over 45,000 students, Georgia Tech is globally recognized for its top-tier programs in engineering,
computing, sciences, business, design, and liberal arts. In the past year, Georgia Tech faculty secured over $1.4 billion in research funding across disciplines, including artificial intelligence, energy sustainability, semiconductors, neuroscience, and national
security. Georgia Tech ranks in the top 20 U.S. universities for research and development expenditures and is ranked No. 1 among U.S. institutions without a medical school.</span></p>
<p class="x_MsoNormal" style="line-height:18.4px; font-size:medium"><b><span style="font-family:"Times New Roman",serif">About the School of Earth and Atmospheric Sciences</span></b><span style="font-family:"Times New Roman",serif"><br>
The School of Earth and Atmospheric Sciences (EAS) at the Georgia Institute of Technology is highly interdisciplinary and covers broadly all fields of Earth and space science. EAS hosts a range of undergraduate degrees, including B.S. programs in Atmospheric
and Oceanic Sciences, Solid Earth and Planetary Sciences, and Environmental Science, and hosts a distinct interdisciplinary Ph.D. program in Ocean Science and Engineering in collaboration with the School of Biological Sciences and Environmental Engineering.
For more information about our School and academic programs, visit </span><a href="https://eas.gatech.edu/home"><span style="font-family:"Times New Roman",serif">https://eas.gatech.edu/home</span></a><span style="font-family:"Times New Roman",serif">.</span></p>
<p class="x_MsoNormal" style="line-height:18.4px; font-size:medium"><span style="font-family:"Times New Roman",serif">The EAS includes 35 academic faculty members whose research areas cover the earth, atmospheric, oceanic, and planetary sciences as well as
interdisciplinary climate and earth system research. The school provides a vibrant and inclusive academic environment, preparing students to advance geoscience knowledge and become leaders in academia, government, and industry.</span></p>
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<span style="font-size:15px">Ali Sarhadi, PhD</span></div>
<div style="color:rgb(0,0,0); letter-spacing:normal; text-transform:none; white-space:normal; word-spacing:0px; text-decoration:none">
<span style="font-size:15px">Assistant Professor</span></div>
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<span style="font-size:15px">School of Earth and Atmospheric Sciences<br>
Georgia Institute of Technology</span></div>
<div><span style="font-size:15px"><font color="#0059ff">sarhadi@gatech.edu</font></span></div>
<div><span style="font-size:15px"><font color="#0059ff">sarhadilab.org</font></span></div>
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