43 high-performance-computing positions at AALTO UNIVERSITY in Ireland-University-Ranking-2024
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by the Multi-energy System Planning and Operation Research Group at Aalto University School of Electrical Engineering . The research will focus on the modelling, optimization, and operation of AI
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2026 - 00:00 (UTC) Country Finland Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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from 50 countries, it is the largest department at Aalto University and the leading computer science research unit in northern Europe. Computer science research at Aalto University ranks high in several
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such as breakwaters by using computational tools developed in our research group. These tools are based on discrete element method and they have bee validated against experimental data. You will start your
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Sep 2026 - 00:00 (UTC) Country Finland Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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are essential. Knowledge of fire simulations as a plus. Skills of performing non-linear numerical analyses using general-purpose finite element analysis software particularly Abaqus are essential. Skills
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an advantage. Applicants must fulfil the eligibility and admission criteria for Aalto’s Doctoral Programme in Engineering as specified at Aalto Doctoral Programme in Engineering | Aalto University . Your network
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), especially for reactions on surfaces Hands-on experience with high-performance computing (HPC) environments, coding/scripting (Python, Bash), and version control (Git) Strong command of written and spoken
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teaching, our ambition is high: to provide top-notch, state-of-the-art teaching to students – drawing from both theoretical development as well as from relevant illustrations of best business practices. The
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for next-generation intelligent audio IoT sensors. Your Role and Goals As a Doctoral Researcher, you will: Design energy-efficient digital in-memory computing circuits for on-chip AI inference, spanning both