Postdoctoral Researcher in Scientific Machine Learning, Probabilistic Inverse Problems, and Generative Models at University of Southern California University of Southern California in United States

Fully funded PhD positions are available in AI for Computational Science and Biomedical Systems at Iowa State University for Fall 2027 . A new faculty member in the Department of Mechanical Engineering is recruiting 1–2 PhD students for the PHASE Lab (Physics & Health via AI and Shape Emulation) . The research focus includes scientific machine learning for computational physics, AI-driven digital twins for biomedical systems, hybrid neural modeling for design and inverse problems, optimization ,...

Professor Salah A. Faroughi at the University of Utah is recruiting two PhD students for a research group opportunity at the intersection of symbolic AI , closure modeling , computational physics , and scientific machine learning (SciML) . The project interests include physics-informed machine learning , operator learning , computational mechanics , symbolic learning , and related numerical methods . This is a strong fit for students interested in combining physics-based modeling with modern AI/...

1–2 fully funded PhD positions are available at Iowa State University in the PHASE Lab (Physics & Health via AI and Shape Emulation), starting Fall 2027. The lab will be led by Prof. Pan Du in the Department of Mechanical Engineering and focuses on scientific machine learning , computational physics , biomedical AI , AI-driven digital twins, hybrid neural modeling, inverse problems, optimization, and uncertainty quantification (UQ). Students interested in AI for computational science, geometry m...

Beckett Y. Zhou, Assistant Professor at Georgia Tech, is recruiting for multiple fully funded openings in the Computational Laboratory for Aerodynamics and Aeroacoustics Research at the School of Aerospace Engineering. The opportunities span MSc, PhD, and post-doctoral levels and focus on research in aerodynamics, aeroacoustics, computational fluid dynamics, computational aeroacoustics, acoustic scattering, turbulence modeling, aerodynamic/acoustic optimization and control, and data-driven metho...

PhD studentship at the University of Arizona on DNS of hypersonic boundary-layer transition . The project uses high-fidelity Direct Numerical Simulations (DNS) to study stability and laminar-turbulent transition in boundary layers at hypersonic speeds ( M = 4 to 14 ). Research topics include the physical mechanisms governing the linear and nonlinear stages of transition, breakdown to turbulence, and the investigation of promising flow-control methods using high-fidelity DNS. The position is well...