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. Department of Computer Science We are the leading academic IT environment in Norway, and offer a wide range of theoretical and applied IT programmes of study at all levels. Our subject areas include hardware
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11th May 2026 Languages English English English The Department of Computer Science has a vacancy for a PhD Candidate in Hardware-Aware Deep Learning Model Optimization Apply for this job See
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implement the required hardware and/or software components, including sensing modules, control algorithms, autonomy modules, or supporting ground systems. Collect and curate relevant datasets from laboratory
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IT environment in Norway, and offer a wide range of theoretical and applied IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases
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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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of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria Experience with the design and development of computer hardware, for example, FPGA and ASIC prototyping
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circuit-level simulation, system modeling, and in-silicon hardware prototyping to evaluate approaches against performance metrics such as energy efficiency, inference accuracy and computational latency
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, the work includes experimental work at international accelerator laboratories (CERN, SLAC, DESY and Daresbury) as well as high-performance computing work on supercomputers (LUMI). For this position, we
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of benchmarking Develop necessary hardware and/or software capabilities relevant to the topic Collect necessary data Perform various experiments to document system development and benchmark against performance
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of Computer Science We are the leading academic IT environment in Norway, and offer a wide range of theoretical and applied IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual