Paola Cinnella

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Professor

Sorbonne Université

France

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Professor Paola Cinnella is a faculty member at Sorbonne Université in France. Her research focuses on advanced turbulence modeling, particularly in the context of high-Reynolds number flows, hypersonic flows, and complex turbulent interactions. Recent publications explore novel strategies for optimizing turbine flows, developing adaptive grid refinement techniques, and leveraging machine learning for turbulence model aggregation.

Positions (1)

Paola Cinnella

University Name

Sorbonne Université

Postdoctoral Researcher / Research Engineer in Data-Driven CFD and Turbulence Modeling

Postdoctoral Researcher / Research Engineer in Data-Driven CFD at Sorbonne Université in Paris, France . This urgent opening is within the Horizon Europe Sci-Fi-Turbo project and the #DataDrivenCFD team led by Paola Cinnella . The successful candidate will work on computational fluid dynamics , scientific machine learning , and data-driven modeling for next-generation turbomachinery. Research topics include RANS , LES , development of data-driven turbulence models , multi-fidelity surrogate models , and LES-driven optimization workflows . Experience with turbomachinery flows is a strong advantage. Eligibility highlights: strong skills in CFD, scientific computing, and Python ; immediate or near-term availability; and the ability to take up employment in France quickly. Funding: 12 months with possibility of renewal; salary depends on qualifications and previous experience. How to apply: email a CV , publication list , and the names/contact details of 2–3 referees to [email protected] . The post asks interested candidates to apply promptly because of the short recruitment timeline.

Paola Cinnella

Research Interests

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About

Positions (1)

Postdoctoral Researcher / Research Engineer in Data-Driven CFD and Turbulence Modeling

Articles (17)

Cost-effective multi-fidelity strategy for the optimization of high-Reynolds number turbine flows guided by LES

Recent developments and research needs in turbulence modeling of hypersonic flows

Investigation of transonic flows through an idealized ORC turbine vane using Delayed Detached Eddy simulations

Space-dependent turbulence model aggregation using machine learning

Influence of large-scale free-stream turbulence on bypass transition in air and organic vapour flows

Adaptive Grid Refinement for High-Order Finite Volume Simulations of Unsteady Compressible and Turbulent Flows

Shock impingement on a transitional hypersonic high-enthalpy boundary layer

High-subsonic boundary-layer flows of an organic vapour

Data-driven Reynolds stress models based on the frozen treatment of Reynolds stress tensor and Reynolds force vector

Insights into the turbulent flow of dense gases through high-fidelity simulations

Thermochemical non-equilibrium effects in turbulent hypersonic boundary layers

Finite-rate chemistry effects in turbulent hypersonic boundary layers: A direct numerical simulation study

Large Eddy Simulations of Strongly Non-Ideal Compressible Flows through a Transonic Cascade

Dense-gas effects on compressible boundary-layer stability

Dense-gas effects on compressible boundary-layer stability

Multi-Fidelity Gradient-Based Strategy for Robust Optimization in Computational Fluid Dynamics

Bayesian model-scenario averaged predictions of compressor cascade flows under uncertain turbulence models

Collaborators (4)

Pourya Forooghi

Luca Sciacovelli

Giuseppe Pascazio

Ali Amarloo

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