Efficient PDE Solvers & Data-Driven Modeling (PINNs)
Sapienza University of Rome, Department of Mathematics, invites applications for a research position focused on numerical analysis and mathematical modelling.
The role emphasises development and analysis of efficient numerical methods for ordinary and partial differential equations, with potential work on model order reduction, optimal control for dynamical systems, and data-driven approaches including PINNs.
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The role emphasises development and analysis of efficient numerical methods for ordinary and partial differential equations, with potential work on model order reduction, optimal control for dynamical systems, and data-driven approaches including PINNs.
#J-18808-Ljbffr