31 software-defined-network-postdoc PhD positions at NTNU Norwegian University of Science and Technology in Norway
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-native 5G/6G networks. The project will explore the mechanisms, control loops, and open interfaces needed to use Generative AI (GenAI) and Agentic AI safely and efficiently to operate modern softwarized
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systems. At NTNU, the research will investigate hardware-aware and hardware–software co-design methods for edge intelligence. The goal is to develop new techniques that improve the efficiency, performance
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the EU AI Act. The AI Act introduces a risk-based framework that classifies AI systems by intended purpose and defines risk as the likelihood and severity of harm. Healthcare AI systems, including
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, facilitating a secure, resilient, and sustainable electricity distribution grid that ensures both the security of electricity supply and a path to a net-zero-emissions society. SecurEL aims to develop new
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scholarships and some postdoc positions. Duties of the position Complete the doctoral education until obtaining a doctorate Carry out research of good quality within the framework described above Apply
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. The research will also involve using software-defined radios (SDR) and digital signal processing for antenna beamforming. The payload may also be used to detect GNSS jamming and spoofing events. The project is
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European MSCA Doctoral Network UNVEIL , where you will work together with 11 other PhD candidates employed at different leading universities, research institutes, companies and museums throughout Europe
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the design of a scalable, interoperable, and resilient quantum internet architecture and protocol stack for real-world operation in hybrid quantum–classical networks across intra- and inter-domain settings
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approximately 25 doctoral scholarships and some postdoc positions. More information can be found here: https://www.ntnu.edu/mai The appointment is carried out in accordance with the principles of the State
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analysis (FEA) and strong skills in FEA software such as ABAQUS Hands-on experience in the construction and application of deep learning neural networks on material design by using PyTorch or Matlab PLEASE