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newly developed methods, such as high-fidelity collisional atom-atom interactions, we build highly coherent quantum machines capable of creating massively entangled quantum states for computing
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other stochastic simulation methods Numerical solution of coupled differential or rate equations Atomistic or mesoscale modeling of materials Semiconductor nanocrystals, surfaces, or colloidal growth
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to translate this understanding into more reliable and resilient materials and structures. By combining numerical modeling, laboratory experiments, and theoretical analyses, we seek to link
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mechanics, scientific computing, or a related field. A foundation in areas such as solid mechanics, fluid mechanics, dynamics, or numerical modeling is particularly relevant. You have experience
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knowledge in parallel or high-performance computing is desirable, and applicants should be comfortable working on shared HPC clusters. Experience with software engineering practices, including version control
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combine advanced numerical modeling with experimental demonstrations to investigate electromagnetic wave propagation in time-varying THz waveguides. Job description Develop numerical simulation
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that understand both what the user intends to do and what is happening in the environment. The PhD will focus on the computational and sensing methods required to make such systems robust, generalizable
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international team combines materials chemistry, optical spectroscopy, electron microscopy, theoretical modeling, and numerical simulation to understand and control materials at the nanoscale. Project background
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partners Development of advanced optical instrumentation and experimental methodologies Data analysis and numerical modelling Close collaboration with researchers from the participating ETH research
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closely related field Strong interest in accelerator physics, electron sources and experimental work; experience with beam dynamics, lasers/optics, numerical modelling or scientific programming is an