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<b>Postdoctoral Research Position in Physics-Based Machine Learning for Hurricane Compound Flood Modeling and Coastal Resilience<br>
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The School of Earth and Atmospheric Sciences (EAS) at the Georgia Institute of Technology invites applications for a highly motivated postdoctoral researcher to join our team in advancing the modeling and understanding of hurricane-driven compound flooding and decision-relevant
coastal resilience strategies in a warming climate.<br>
The successful candidate will develop and apply physics-based and machine-learning–enabled modeling frameworks to simulate compound hurricane hazards—including storm surge, extreme rainfall, and riverine flooding—and to evaluate nature-based, engineered, and
hybrid adaptation strategies under climate change and sea-level rise.<br>
This position will contribute to ongoing projects within the Georgia Tech for Georgia’s Tomorrow (GT^2) program and the Coastal Equity and Resilience (CEAR) Hub, integrating high-resolution tropical cyclone and hydrodynamic models with AI/ML emulators to support
decision-ready coastal adaptation planning.<br>
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More information about the position, including duties, required competencies, and application instructions can be found in the official announcement PDF here:<br data-start="1551" data-end="1554">
https://sarhadi.eas.gatech.edu/files/2025/12/GT2-CoastalResilice-Postdoc-1.pdf<br>
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<b>Qualifications</b>:<br>
• Ph.D. in atmospheric science, ocean/coastal engineering, civil & environmental engineering, computational science, computer science, or a closely related field<br>
• Experience in one or more of the following:<br>
<span class="Apple-tab-span" style="white-space:pre"></span>• Physics-informed machine learning and surrogate/emulator modeling<br>
<span class="Apple-tab-span" style="white-space:pre"></span>• Numerical modeling of storm surge, rainfall, or riverine flooding<br>
<span class="Apple-tab-span" style="white-space:pre"></span>• Multi-hazard tropical cyclone risk assessment<br>
• Strong programming and computational skills<br>
• Excellent written and oral communication skills<br>
• Experience in integrating AI/ML and translating modeling results into actionable insights for climate adaptation is strongly preferred<br>
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Position Details:</b><br>
• Appointment: 2 years (renewable based on performance and funding)<br>
• Anticipated start date: Spring 2026 (flexible)<br>
• Salary: $70,000/year, with full benefits<br>
• Location: Atlanta, Georgia, USA<br>
• Mentors: Dr. Ali Sarhadi and Dr. Alex Robel, School of Earth and Atmospheric Sciences, Georgia Tech<br>
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<b>Application Instructions:</b><br>
Applicants should send a single PDF to sarhadi@gatech.edu containing:<br>
• Cover letter<br>
• Curriculum vitae<br>
• Contact information for 2–3 references<br>
• (Optional) 1–2 page research statement<br>
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Prospective applicants are welcome to contact Dr. Sarhadi with questions prior to applying.<br>
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More Information<br>
• Research group: https://sarhadi.eas.gatech.edu/<br>
• School of Earth and Atmospheric Sciences: https://eas.gatech.edu<br>
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<div>Please share broadly. </div>
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<div>Regards,<br>
----<br>
Ali Sarhadi, PhD<br>
Assistant Professor<br>
School of Earth and Atmospheric Sciences<br>
Georgia Institute of Technology<br>
sarhadi@gatech.edu<br>
https://sarhadi.eas.gatech.edu/<br>
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