[ES_JOBS_NET] Postdoctoral Position – Physics-Based Machine Learning for Hurricane Compound Flooding | Georgia Tech!

[Sarhadi, Ali]

Postdoctoral Research Position in Physics-Based Machine Learning for Hurricane Compound Flood Modeling and Coastal Resilience

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.
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.
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.

More information about the position, including duties, required competencies, and application instructions can be found in the official announcement PDF here:
https://sarhadi.eas.gatech.edu/files/2025/12/GT2-CoastalResilice-Postdoc-1.pdf

Qualifications:
• Ph.D. in atmospheric science, ocean/coastal engineering, civil & environmental engineering, computational science, computer science, or a closely related field
• Experience in one or more of the following:
• Physics-informed machine learning and surrogate/emulator modeling
• Numerical modeling of storm surge, rainfall, or riverine flooding
• Multi-hazard tropical cyclone risk assessment
• Strong programming and computational skills
• Excellent written and oral communication skills
• Experience in integrating AI/ML and translating modeling results into actionable insights for climate adaptation is strongly preferred

Position Details:
• Appointment: 2 years (renewable based on performance and funding)
• Anticipated start date: Spring 2026 (flexible)
• Salary: $70,000/year, with full benefits
• Location: Atlanta, Georgia, USA
• Mentors: Dr. Ali Sarhadi and Dr. Alex Robel, School of Earth and Atmospheric Sciences, Georgia Tech

Application Instructions:
Applicants should send a single PDF to sarhadi at gatech.edu containing:
• Cover letter
• Curriculum vitae
• Contact information for 2–3 references
• (Optional) 1–2 page research statement

Prospective applicants are welcome to contact Dr. Sarhadi with questions prior to applying.

More Information
• Research group: https://sarhadi.eas.gatech.edu/
• School of Earth and Atmospheric Sciences: https://eas.gatech.edu

Please share broadly.

Regards,
----
Ali Sarhadi, PhD
Assistant Professor
School of Earth and Atmospheric Sciences
Georgia Institute of Technology
sarhadi at gatech.edu
https://sarhadi.eas.gatech.edu/

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