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of physical systems AI-based condition monitoring Reinforcement learning Programming skills are required, with Python experience preferred. Theoretical understanding and hands-on experience with electric
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mathematics or a related field. The successful candidate will have expertise in at least in one of: Machine learning in the context of physical systems AI-based condition monitoring Reinforcement learning
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Applicants are expected to hold a PhD and excellent study records in theoretical physics, mathematics, computer science, or other relevant field. have sufficient background in quantum computing to conduct
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, 1 postdoc and 5 PhD students. The group is led by Professor Ilkka Tittonen. Your experience and ambitions Applicants are expected to hold a PhD and excellent study records in theoretical physics
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of the project is to make foundational theoretical contributions and to develop tools relevant for industry applications. The Doctoral Researcher’sposition includes also doctoral studies. The successful applicant
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28 Oct 2025 Job Information Organisation/Company AALTO UNIVERSITY Research Field Engineering Mathematics Physics Researcher Profile Leading Researcher (R4) Country Finland Application Deadline 26
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experience and ambitions Required Qualifications PhD in Electrical Engineering, Physics, Photonics, Materials Science, or related field Strong theoretical and practical background in semiconductor device
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theoretical and practical background in semiconductor device physics and optoelectronics Demonstrated experience with design, fabrication, and/or characterization of III-V photonic devices, especially lasers
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of the project is to make foundational theoretical contributions and to develop tools relevant for industry applications. The Doctoral Researcher’sposition includes also doctoral studies. The successful applicant
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18 Sep 2025 Job Information Organisation/Company AALTO UNIVERSITY Research Field Physics Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country Finland Application