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numerical/computational modelling methods (e.g. discrete element method or finite element analysis) Strong programming skills Good written and verbal communication skills in English Considered an
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research experience in mechanics Prior exposure to numerical/computational modelling methods (e.g. discrete element method or finite element analysis) Strong programming skills Good written and verbal
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, computational science, or closely related). Relevant coursework (examples): Computational physics/scientific computing and numerical methods for PDEs High‑performance computing (parallel distributed
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coursework (examples): Computational physics/scientific computing and numerical methods for PDEs High‑performance computing (parallel distributed programming, GPU programming) Astrophysical fluid dynamics
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is one of the six schools of Aalto University. Our portfolio covers fields from natural sciences to engineering and information sciences. In parallel with basic research, we develop ideas and
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in heat transfer, mathematical methods in engineering physics, and a demonstrated interest in numerical methods, and high-performance computing. Applicants should hold a master’s degree with excellent
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characterisation. He leads the numerical modelling of rock-liner interaction and will design the in-situ experiments together with you. Around you are colleagues in numerical methods for geomechanics
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but require enormous computing power. Artificial intelligence (AI) can predict the weather much faster and with less energy, but we still don’t fully understand how they make their predictions. The AI
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are colleagues in numerical methods for geomechanics, geotechnical engineering, engineering geology and construction materials. Among them for example associate Professor Wojciech Sołowski, Professor
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Robotics - Safe Autonomy in Shared Industrial Environments We are seeking an excellent candidate at the doctoral researcher level to develop perception, prediction, and planning methods that enable