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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INGEGNERIA INDUSTRIALE | Italy | about 1 month ago
Description Analysis and development of methodologies to accelerate the computation of numerical optimization through parallelization and the use of GPUs. Where to apply Website http://www.unibo.it Requirements
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Efficient and Reliable Numerical Solution of Dynamic Optimization School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Yuanbo Nie Application Deadline: Applications
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research project Optimal adaptive spacetime boundary and finite element methods. The project focuses on the design, numerical analysis, and implementation of novel numerical algorithms to efficiently solve
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Vacancies Postdoc position in Numerical Analysis Key takeaways We are looking for an enthusiastic and highly motivated postdoc candidate to join as soon as possible the Mathematics of Computational
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algorithms converge optimally with respect to the number of mesh elements. You will further implement and thereby validate the theoretical results through numerical experiments. You will conduct your research
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numerical modeling using CFD and FEM techniques, the use of generative CAD tools and shape optimization methods, as well as the integration of experimental and structural measurements with simulation data
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research project Optimal adaptive space-time boundary and finite element methods. The project focuses on the design, numerical analysis, and implementation of novel numerical algorithms to efficiently solve
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on the development of advanced two-phase cooling technologies for high heat flux applications, including flow boiling and spray cooling. The candidate will perform numerical modelling and simulation of two-phase heat
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with very low cross-sensitivity. Despite these advances, the integrated design of quasiperiodic nonlinear topological metastructures capable of simultaneously achieving optimized vibration energy
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simulation of fluid flow in pipelines Knowledge of CO₂ transport, leak detection, or pipeline optimization methods is an advantage Familiarity with scientific software, numerical solvers, and computational