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Electrical Engineering 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
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with high-performance computing, GPU programming, parallel programming, cloud computing, and/or related methods including running numerical simulations of complex workflows. Demonstrated technical
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corresponding numerical methods in computer codes. Experience with numerical methods for solving partial differential equations such as finite difference, finite element, and/or spectral methods. Ability to
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corresponding numerical methods in computer codes. Experience with numerical methods for solving partial differential equations such as finite difference, finite element, and/or spectral methods. Ability to
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-machine learning approach based on the following key steps. It is expected that such combination will improve computational efficiency compared to traditional numerical methods maintaining high level
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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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NTNU Norwegian University of Science and Technology | Trondheim, Sor-Trondelag | Norway | 20 days ago
academia. Your immediate leader will be the head of the computing unit. About the project The primary research goal will be to create quantitative performance models that describe a range of numerical
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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