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. Build data processing workflows and implementation of AI/ML methods to identify significant trends and dependencies of the estimated parameters on observation data and various environmental factors
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three-year doctoral research project that develops synthetic aperture radar-based sensing methods, models, and experiments targeted for human health monitoring in specific applications. The goal is to
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questions: Where do new scientific ideas come from? Can a computer make new scientific discoveries? How will AI change the scientific method? Artificial intelligence systems like AlphaFold and self-driving
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to develop and implement advanced model order reduction (MOR) methods for flexible multibody dynamics. The work focuses on the floating frame of reference formulation (FFRF) and parametric MOR extensions
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research center that combines the expertise of the University of Oulu's computer vision and biosignal analysis scientists. Through expertise spanning decades and extensive international collaboration, CMVS
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Project tasks and objectives: Industry objectives: To investigate sensor configurations and machine learning methods for sensor fusion-based machine perception for real-time operation, including
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will design and implement novel computer vision and machine learning methods for “sensorized” cameras that extract medically relevant features without transmitting raw video. You will evaluate algorithms
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from estimation and optimization theory to hardware design. The specific topic of the project falls in the intersection of statistical signal processing and applied mathematics and is in particular
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and power converters. Our work spans from fundamental modelling and analysis to advanced control design and system optimization. Our specialty is developing embedded control, estimation, and
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18 Nov 2025 Job Information Organisation/Company University of Turku Research Field Economics » Management studies Educational sciences » Education Educational sciences » Teaching methods