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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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, 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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with transistor-level circuit design and simulation What We Offer We provide GPU computing for machine learning on Aalto's Triton high-performance computing cluster, alongside industry-standard
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infrastructure for deep learning, speech, and audio research, including Aalto University’s large-scale scientific computing cluster with CPU and GPU nodes, access to CSC’s national computing infrastructure
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Researcher in Trustworthy Machine Learning Your role and goals Trustworthy & Adversarial Computing Lab ( https://taclab.aalto.fi ) led by Sebastian Szyller is looking for a doctoral researcher (PhD student) to
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part of the Cloud and Network Computing group , headed by assistant professor Gopika Premsankar. You will be advised by Riku Jäntti, full professor in Communications Engineering . Both groups are
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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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. Familiarity with uncertainty modelling, stochastic programming, robust optimization, or real-time decision-making. Interest in quantum computing or quantum-inspired optimization methods. Good programming skills
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expertise in wireless communications, positioning, and signal processing Close scientific supervision while gradually developing independence as a researcher Access to computing, software-defined radio