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are applied in real-world settings characterized by large-scale networks, stochastic demand, operational disruptions, and complex constraints. A central research question is how machine learning can be
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to B2 or higher level) in a Scandinavian language is an advantage, but not a prerequisite, to interact with local project partners and students. The successful candidate will be encouraged to learn
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global institutions. We welcome motivated applicants in robotics, control, AI, machine learning, physics, and related fields, including early-stage researchers eager to contribute to this emerging
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environmental conditions. The PhD position is funded through the Norwegian Nuclear Research Centre (NNRC). Link: https://www.nnrc.uio.no/english/index.html The PhD candidate will be part of a dynamic and
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of the war affect the organization of the fighting parties? More information about the project can be found here: https://www.sv.uio.no/isv/english/research/projects/wow/index.html The PhD Fellow is expected
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team includes: Prof. Ivan Depina – main supervisor and coordinator, probabilistic modelling, scientific machine learning Prof. Mohamed Hamdy – building performance simulation, building automation
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will be integrated into the research activities of the Centre for Research-based Innovation SFI‑CELECT : Industry‑oriented Research Centre for Effective Engineering and Learning in Complex Systems. You
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position This PhD project is connected to FME NorthWind (https
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cookie and refresh page to watch video, or click here to open video) About the position This PhD project is connected to FME NorthWind (https://www.northwindresearch.no/ ), a Norwegian national research
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presentation skills in English. Personal characteristics To complete a doctoral degree (PhD), it is important that you are able to: Willingness to learn new fields and adapt to a multidisciplinary research