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also highly valued. Requirements Successful candidates have a master’s degree in Physics, Chemistry, Computer Science or related disciplines. Knowledge of machine learning (image, graph network
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at https://www.aalto.fi/en/study-options/aalto-doctoral-programme-in-electrical-engineering . WE OFFER The position will be filled for a period of 4 years (2 + 2). The starting date is in October 2025 or as
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Devices (QCD) group at the Department of Applied Physics. In this position you have a chance to make history by demonstrating some of the first experiments of the future quantum-computer technology that is
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from all backgrounds to join our community. At the Department of Applied Physics, our pioneering research in physical sciences creates important industrial applications that hold great technological
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, Process Engineering, Mechanical Engineering or a related field with a strong foundation in thermodynamics, fluid mechanics, and heat transfer. Proven ability to model complex physical systems using either
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from all backgrounds to join our community. At the Department of Applied Physics, our pioneering research in physical sciences creates important industrial applications that hold great technological
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: PhD or equivalent degree in Robotics, Computer Science, Machine Learning, AI, Control Engineering, or a related field. Excellent programming skills and experience with related tools and software. A
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). Your work will often be interdisciplinary and require close cooperation with other research groups. The position requires Master's degree in computer science, communications engineering, or a related
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from all backgrounds to join our community. At the Department of Applied Physics, our pioneering research in physical sciences creates important industrial applications that hold great technological
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and Professor of Practice Jouni Punkki. Job description Research activities will involve computational methods relying on physics-based continuum models to assess the mechanical, thermal, and acoustical