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:
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AI-enhanced fluid dynamics and surrogate modeling
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Wind engineering and hazard mitigation
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Neighborhood-scale urban flow and pollution modeling
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Reduced-order modeling for flow and heat transfer analysis
Eligibility:
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BSc/MSc in mechanical, aerospace, civil, or applied mathematics
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Degree earned in 2020 or later
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At least one first-author peer-reviewed publication
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Strong coding (Python/C++) and CFD skills (ANSYS/OpenFOAM/StarCCM+)
Preferred:
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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
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U.S. citizens/green card holders preferred; international students welcome
Application Materials:
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CV (2 pages max)
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Cover letter (1 page; research interests, qualifications)
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Unofficial transcripts, sample publications, and relevant certifications
To apply, please email Dr. Navid Goudarzi at n.goudarzi@csuohio.edu.