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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 invite applications for a PhD position in hardware-aware deep
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subject areas include hardware, algorithms, visual computing, AI, databases, software engineering, information systems, learning technology, HCI, CSCW, IT operations and applied data processing
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NTNU and the application process here. About the position This PhD position will be hosted at the Department of Engineering Cybernetics (ITK), holding peak competences in decision-making, optimization
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Computer science » Computer systems Computer science » Programming Technology » Communication technology Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 26 Apr 2026 - 23
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seeking a PhD candidate in computer architecture. The research focus of this PhD position is the design of performant and energy-efficient Edge Artificial Intelligence (AI) accelerators. Such accelerators
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until obtaining a PhD Carry out research of good quality within the framework described above Academic publications and popular science dissemination Participate in the research group SIMLab (https
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subject areas include hardware, algorithms, visual computing, AI, databases, software engineering, information systems, learning technology, HCI, CSCW, IT operations and applied data processing
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prerequisite. English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Candidates
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possibility of extension) Start date: August 2026 at latest The students will be enrolled in the structured PhD programme in Computer Science at Sapienza University of Rome, Italy: https://www.uniroma1.it/en
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SFI FAST: PhD position in Microstructure/texture evolution during extrusion of scrap-based Aluminium
fellowship starting in 2026. The PhD candidate will be embedded in the research activities of SFI FAST centre related to forming processes and will work closely with NTNU, SINTEF, and leading international