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inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community. The Department of Computer Science is an internationally-oriented community and home to world
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doctoral researcher(PhD student) with a strong background in probabilistic machine learning, statistics, applied mathematics, computer science, or a related field, and strong programming skills, to
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contextual and behavioral cues to understand human actions, anticipate future behavior, and reason under uncertainty. The methodological scope includes machine learning, computer vision, multimodal
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evaluation of the additional losses in the variable-speed electric machines Requirements Eligible candidates should have Master’s degree in electrical engineering, computer science, materials sciences, or
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computer science, mathematics, electrical engineering, or related fields; Fluent written and verbal communication skills in English; Ability to work both independently and collaboratively as part of a
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community’s diversity and inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community. The Department of Computer Science is an internationally-oriented
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, Austria) — 3 months from around May 2029 (academic), with Ivona Brandić: combine the digital-twin models with the end-to-end energy models. The position requires: Master's degree in computer science
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with signal processing, time series analysis or machine learning Programming skills in MATLAB and/or Python What we offer The position is fixed term and follows Aalto's standard 2+2 model. It will be
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in this role, you should have: A master’s degree, or be close to completing a master’s degree, in speech or audio processing, machine learning, signal processing, computer science, electrical
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independently and in a team, and an interest in working with industry partners Willingness to do hands-on work underground and in the laboratory Basic programming ability in Python, MATLAB, R, or similar