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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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qualified candidates from all backgrounds to join our community. The Engineered NanoSystems (ENS researcher group ) at Aalto University School of Science is looking for Doctoral and/or Post-doctoral
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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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whole fleet can act as one Virtual Power Plant. Read more about the project and other participants here: https://aegis-dn.eu/ Your role: You will be working on “End-to-End Energy Modeling for
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Start date: Flexible, Fall/Winter 2026-27 Post duration: 6 months Salary: 2 620,59€ per month full-time (or pro rata for part-time if taking courses concurrently) Place of work: Aalto University
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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