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”, led by Associate Professor Valeria Vitelli. Successful candidates will work on Bayesian models for unsupervised learning when multiple data sources are available, mostly tailored to the case
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experience, submit them. Transcripts and diplomas for Bachelor's and Master's degrees. If you have not yet completed your Master's thesis, you must provide confirmation on your estimated date
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Preferred selection criteria Experience within the field of nanomagnetism. Experience with working in a cleanroom. Experience with micro- or nanofabrication. Interest in computer-based simulated experiments
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Fulfil administrative and teaching duties required (if applicable) Be prepared for changes to your work duties after employment. Required selection criteria You must have a relevant background in Computer
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interdisciplinary center with joint efforts in theory, computer simulations and experiments, both in fundamental and in more applied directions. The center works to advance the understanding of porous media by
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references Additional relevant documentation of professional knowledge (for example, list of scientific works). If it is difficult to judge the applicant’s contribution for publications with multiple authors
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the PhD candidate may include (non-)linear inverse load estimation and data-driven/machine learning techniques that rely on physics-informed guidance for improved robustness. A key task will be to quantify
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to a five-year Norwegian degree program, where 120 credits are obtained at master's level Preferred qualifications: Experience with computer-based analytical tools Experience with experimental evolution
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with contactless sensor which can be integrated into existing data acquisition system enabling to monitor propulsion health as well as estimating remaining useful life (RUL). This PhD project is
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-2 (3) . Names and contact details for two references Additional relevant documentation of professional knowledge (for example, list of scientific works). If it is difficult to judge the applicant’s