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» Control engineering Computer science » Cybernetics Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 30 Apr 2026 - 23:59 (Europe
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. The postdoctoral fellow will join a research group with potential access to large, administrative data sets therefore prior experience with big data and administrative data will be advantageous. via Unsplash
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computational methods for bioimaging, and who also wish to teach engineering students. The position is for a period of four years. The nominal length of the PhD programme is three years. The fourth year is
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The position An exciting postdoctoral position in method development for spatio-temporal medical data is available in the UiT Machine Learning Group at the Department of Physics and Technology . Goal: Develop
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, Mathematics (Operations research) or Computer Science or Machine Learning). The master thesis must be included in the application. Documented proficiency in English, please see requirements below. Requirements
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methods Solid knowledge of materials mechanics Knowledge of fracture mechanics Experience with machine learning and/or data-driven methods Oral and written communication skills in Norwegian/Scandinavian
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into reliable information about structural and aerodynamic behaviour remains a challenge. The PhD will develop data-driven methods that combine measurements, physics-based models, and machine learning to extract
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research training leading to the successful completion of a PhD degree. For more information see: http://www.mn.uio.no/english/research/phd/ All candidates and projects will have to undergo a check versus
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into reliable information about structural and aerodynamic behaviour remains a challenge. The PhD will develop data-driven methods that combine measurements, physics-based models, and machine learning to extract
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of Informatics. You will be part of Visual Intelligence and the DSB group. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/293458/phd-research-fellow-in-deep-learning