14 phd-position-cloud-computing PhD positions at NTNU Norwegian University of Science and Technology
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Environmental science » Ecology Environmental science » Global change Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Norway Application Deadline 28 Oct 2025 - 23:59 (Europe/Oslo
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First Stage Researcher (R1) Positions PhD Positions Country Norway Application Deadline 22 Oct 2025 - 23:59 (Europe/Oslo) Type of Contract Temporary Job Status Full-time Hours Per Week 37,5 Is the job
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sciences Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Norway Application Deadline 12 Oct 2025 - 23:59 (Europe/Oslo) Type of Contract Temporary Job Status Full-time Hours Per
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are affiliated with the discipline of psychology within the PhD programme in Social Sciences at the Faculty of Social and Educational Sciences. The position is an open call within the field of psychology. Before
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description About the position For a position as a PhD Candidate, the goal is a completed doctoral education leading
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Computer science Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Norway Application Deadline 15 Nov 2025 - 23:59 (Europe/Oslo) Type of Contract Temporary Job Status Full-time Hours Per
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» Materials technology Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Norway Application Deadline 23 Oct 2025 - 23:59 (Europe/Oslo) Type of Contract Temporary Job Status Full
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This is NTNU NTNU is a broad
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Technology » Energy technology Environmental science Computer science » Modelling tools Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Norway Application Deadline 31 Oct 2025
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Cybernetics at NTNU is offering a fully funded PhD position in the area of learning-based control and decision-making for complex multi-agent systems. The project explores new computational frameworks