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- University of Oslo
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, knowledge useful to others beyond those who failed. This PhD project investigates failure in digital ventures: how and why digital startups stagnate and shut down, what their founders learn from
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. Advanced machine learning, reinforcement learning, and agent-based optimization techniques will be developed to reduce voltage deviations, cut active power curtailment, and improve system adaptability under
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The position will be attached to the project “SURE-AI” (http://www.sure-ai.no/ ) funded by The Research Council of Norway, and lead by Simula Research Laboratory. The main focus of the research will be
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environments that aims to address how distributed sensing, fibre-optic monitoring, environmental observations, drone- and satellite-based data, operational infrastructure datasets, and/or machine learning can be
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competence that meets the requirements for a position as associate professor in Norway, NTNU will arrange for you to acquire such competence during the employment period. In such cases, you will also be
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software PyOPIA (https://github.com/SINTEF/pyopia ) Contribute to the establishment of a stereo camera system for wave measurements at the OceanLab site in the Trondheim fjord Take part in wave flume
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project “Actively learning experimental de-signs in terrestrial climate science (ACTIVATE)”: https://www.mn.uio.no/geo/english/research/projects/activate/index.html The PhD fellow will be part of a growing
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group Work Motivation and Optimal Functioning Participate in relevant courses in the doctoral program Be prepared for changes in your work tasks after appointment Where to apply Website https
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to high-performance computing facilities and datasets from laboratory experiments will be provided to support simulation and verification of the resulting model. Replicate and learn a theoretical model for
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page to watch video, or click here to open video) About the position The position is part of the research project “Prediction of genetic values and adaptive potential in the wild (GPWILD)” (https