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, Computational Engineering. Excellent communication skills (in English), passion in using AI and an innovative mindset are essential. Excellent knowledge of Monte Carlo simulations using Geant4 is a big advantage
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varying material properties. The resulting response will be analyzed using techniques such as Monte Carlo simulations. Identifying the variability of the model parameters using Bayesian inference
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. These methods must be embedded in an iterative procedure to compute the final design and are based on Monte-Carlo simulation. They are known to have slow convergence. Using the Hamiltonian structure of the system
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skills (in English), passion in using AI and an innovative mindset are essential. Excellent knowledge of Monte Carlo simulations using Geant4 is a big advantage. Mastery of C++ and python will be
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solver techniques for time-harmonic wave propagation (governed by the Helmholtz equation) and sampling techniques (such as Monte Carlo methods), we aim to deliver computational tools capable of achieving
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with PhD students working AI-accelerated techniques based on a range of computational methods, including direct simulation Monte Carlo, lattice Boltzmann, particle-in-cell, and method-of-moments
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framework. Building on discretisation and solver techniques for time-harmonic wave propagation (governed by the Helmholtz equation) and sampling techniques (such as Monte Carlo methods), we aim to deliver
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working AI-accelerated techniques based on a range of computational methods, including direct simulation Monte Carlo, lattice Boltzmann, particle-in-cell, and method-of-moments approaches. What we ask