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GRA POSITION – Urban Microclimate, Local Turbulence Characterization, and AI-Driven Modeling

The Multiscale Multiphysics Modeling and Data-Driven Analysis of Thermofluids (M3TFluiD) Lab at Cleveland State University is seeking highly motivated Ph.D. students to join a multi-year project focused on advancing climate-adaptive urban microclimate modeling using reduced-order modeling, CFD, and machine learning.

Students will work on one or a combination of the following focus areas with applications to smart city and environmental resilience:

• AI-enhanced fluid dynamics and surrogate modeling

• Wind engineering and hazard mitigation

• Neighborhood-scale urban flow and pollution modeling

• Reduced-order modeling for flow and heat transfer analysis

Eligibility:

• BSc/MSc in mechanical, aerospace, civil, or applied mathematics

• Degree earned in 2020 or later

• At least one first-author peer-reviewed publication

• Strong coding (Python/C++) and CFD skills (ANSYS/OpenFOAM/StarCCM+)

Preferred:

• Background in thermal-fluids, smart city planning, AI/data analytics, and physics-informed modeling

• Proven skills in multifidelity and hybrid CFD modeling and data-driven analysis
• Proven skills in integrated computational and experimental fluid dynamics

• U.S. citizens/green card holders preferred; international students welcome

Application Materials:

• CV (2 pages max)

• Cover letter (1 page; research interests, qualifications)

• Unofficial transcripts, sample publications, and relevant certifications

To apply, please email Dr. Navid Goudarzi at n.goudarzi@csuohio.edu.