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, please see the student information and admission criteria at https://www.aalto.fi/en/study-options/aalto-doctoral-programme-in-electrical-engineering . How to apply? Please submit your application through
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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 work
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A Doctoral Researcher (PhD student) in Machine Learning for Electron–Phonon Interactions and Wannier-Based Hamiltonians Aalto University is where science and art meet technology and business. We
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description A Doctoral Researcher (PhD student) in Machine Learning for Electron–Phonon Interactions and Wannier-Based
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interested in developing into an independent researcher. You should have: A Master's degree, or equivalent, in electrical engineering, communications engineering, signal processing, computer science, applied
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(Electrical Engineering, Electronics, Robotics, Applied Physics or related field) and have a solid background in at least one of the following areas: Electronics (including hardware design, sensor integration
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-, nanofabrication research center in the Nordic countries: Micronova. The QD group's advanced optical lab includes a femtosecond laser, two Fourier-plane imaging setups, electrical equipment such as source-meter
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clear and credible plan for finishing the thesis and graduating. In your application, please describe the current status of your thesis, remaining work, and your planned graduation timetable. Applicants
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would be able to start the thesis work Current employees of Aalto University should apply for the position using their employee profile in Workday under Internal Jobs / Sisäiset työpaikat. Aalto students
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made significant progress in this direction by merging machine learning interatomic potentials (MLIPs) trained on density functional theory (DFT) data, and enhanced sampling techniques to reach the