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about shape optimization and the new opportunities offered by numerical design in turbomachinery. Prior experience in CFD and/or CFD code development (Python, C++, Fortran) would be a significant
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capture technologies. In this project, you will: Develop a 3D Digital Model: Create an advanced computational model of high-pressure mechanical seals. Apply Computational Fluid Dynamics (CFD): Simulate gas
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industrial supervision, training and access to commercial CFD/AI platforms and representative industrial case studies, supporting rapid translation of outcomes into practice. Applicants should have, or expect
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support for process development from laboratory to pilot to demonstration scale Working with a wide range of simulation tools such as CFD, numerial optimisation and artificial intelligence Topic-independent
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method) Experience with open-source CFD software such as OpenFOAM, PFLOTRAN, OpenGeoSys, and geochemistry software such as PHREEQC This is a three-year fixed-term position with a start date of May 1st
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of numerical methods for solving nonlinear systems of partial differential equations (e.g., finite volume method, finite element method) Experience with open-source CFD software such as OpenFOAM, PFLOTRAN
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commissioning of experimental hardware Running and processing concept geometries Comparison with CFD or other low-order design methods Determining underlying three-dimensional flow mechanisms Writing research
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contribute to the validation of simulation codes (CFD) and the design of future aeronautical engines. PhD development at a glance: In parallel with a bibliographic study on OH and NO excitation schemes along
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/simulation/optimization) Build prototypes and research software (clean, reproducible, well-documented) Work with simulation pipelines (e.g., FEM/CFD/physics engines) and industrial data Collaborate with
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be compared and calibrated. In-silico technique based on Computational Fluid Dynamics (CFD) will also be developed to provide further information necessary for the development of new MRI image scanning