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. Multiscale simulations of the downstream expansion behaviour of the engine exhaust plume for different atmospheric layers. Definition of suitable interfaces to process data for the climate models. Expected
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6 Nov 2025 Job Information Organisation/Company Universidade de Vigo Department T03 Mechanical Engineering, Machines, and Thermal and Fluid Motors Research Field Engineering » Mechanical engineering
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turbulence modelling capacities of TELEMAC3D, adapted to suspension flows with varying solids concentrations. Field data will be collected by the project partners at different locations along the Scheldt
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benchmarking of different prototypes using biological assays (cell uptake) compared to their existing state-of-the-art antenna solutions, to connect the resulting electromagnetic performance with the biological
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to make a difference. Do you want to be involved and contribute to our development? Together, we can create a sustainable future through knowledge and innovation. We believe that knowledge and new
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: Position Type: Student programs Position Location: Lausanne, Vaud 1015, Switzerland [map ] Subject Area: Fluid Mechanics Appl Deadline: 2025/12/15 11:59PM (posted 2025/07/24) Position Description: Apply
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PHD DEVELOPMENT AND EXPERIMENTAL VALIDATION OF UNDERGROUND SAND-BASED THERMAL ENERGY STORAGE SYSTEMS
thermo-hydraulic-(mechanical) models and perform system-level simulations to analyse heat and moisture transport within the of the SMTES system and assess its performance under different boundary
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dispersion. Yet conventional Computational Fluid Dynamics (CFD) workflows rely on watertight geometric models and volumetric meshes that are slow, complex, and costly to produce. Within the POINT-TWINS project
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you passionate about making a difference on real
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to: • Compare different ROM approaches (e.g., POD-Galerkin, LSPG [2], structure- preserving, auto-encoder) and DA techniques (e.g., EKF, 4D-Var, PBDW [3]) for smart monitoring applications; • Explore physics