Sort by
Refine Your Search
-
in engineering applications. This includes working with hybrid approaches that combine advanced damage models with machine learning-enhanced numerical simulations, and exploring how these approaches
-
to build and run advanced numerical models, carry out simulations and analyse results in a systematic and transparent way. Depending on ongoing projects, you may be involved in collaboration with industrial
-
, electricity prices, and hydrogen demand, considering system efficiency, flexibility, production, and operating costs. Validate and benchmark the developed framework using project data, high-fidelity simulations
-
benchmark the developed framework using project data, high-fidelity simulations including hardware in the loop, and relevant industrial case studies, assessing its robustness and computational performance
-
used for dynamic simulation, allowing you to explore control strategies that can handle time-varying energy profiles in the kiln and disturbances such as varying limestone quality and fluctuating energy
-
electromagnetic simulation tools, such as CST Studio Suite or Ansys HFSS, and you use them systematically as part of your design workflow. You also have practical skills in numerical modelling and data analysis