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engineering Computer science » Cybernetics Computer science » Informatics Engineering » Electrical engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 16 Oct
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19th October 2026 Languages English English English The Department of Electric Energy has a vacancy for a PhD Candidate in AI-Supported Long-Term Hydropower Scheduling Apply for this job See
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, control, AI, machine learning, physics, and related fields, including early-stage researchers eager to contribute to this emerging scientific frontier. About the project The role of the PhD candidate will
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to teach robots to understand forest well enough to navigate and move through them in real time, using machine learning on LiDAR point clouds and camera imagery for real-time understanding of the forest
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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 We have a vacancy for a PhD candidate in machine learning
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research with skilled colleagues who share your interests? Maybe you can become our new colleague at the Department of Electrical Engineering, IT and Cybernetics at the Faculty of Technology, Natural
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mechanisms that integrate queueing theory, traffic modelling, machine learning, and network-performance prediction for improving latency, reliability and fairness to support mission‑critical services
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candidate for a full-time (100%) PhD position for 3 years. You will join the research group Power Electronics and Electrical Machines (PEM) at IEL, where we foster an open, inclusive, and collaborative
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-scale forest and biodiversity monitoring To be a current applicant, you cannot have previously held a research fellowship position at NIBIO, and you cannot have a previous doctorate or have previously
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focus on combining simulations using spatial-genetic-demographic individual based models (e.g., using the software SLiM), machine learning approaches, and genomic data to estimate larval dispersal