9 machine-learning PhD positions at NTNU Norwegian University of Science and Technology in Norway
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up exciting career opportunities? Are you interested in cable technology and condition monitoring, and do you have strong competence in signal processing and machine learning? As a PhD candidate with us, you
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address this challenge using advanced experimental techniques, numerical simulations, and machine learning methods to develop high-fidelity 3D renderings of deformed samples during physical tests. By
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to your work duties after employment. Required selection criteria You must have a professionally relevant background in algorithms, machine learning, database systems, or data mining, with a research
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hydrogenerators”. The project is linked to the new research center FME RenewHydro . You will join the research group Electrical Machines and Electromagnetics (EME) at IEL, where we foster an open, inclusive, and
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criteria Prior publications within relevant fields Strong problem-solving skills and a demonstrated capacity for innovative thinking Experience and expertise in machine learning Personal characteristics
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Detection and Machine Learning (IEL) PhD in Power Grid Modelling for Net-Zero Energy Systems (IEL) PhD in Incorporating Distribution Grids in Multiscale Stochastic Energy System Models (IØT) PhD in Aspects
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-Computer Interaction (HCI), Human-Centred Computing or alike. You must have a Master's degree in Computer Science or equivalent education (with a focus on interaction design, HCI, wearable computing
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% statutory contribution to the State Pension Fund is deducted from the salary. The employment period is 3 years. If learning Norwegian (level A2 corresponding to at least 15 credits) is to be completed before
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for Energy Technology, IFE). Duties of the position Carry out research of high quality within the scope described above. Develop mathematical models and computer code for optimization and simulation of energy