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. · Artificial Intelligence, Machine Learning, and Data-Driven Systems – edge AI, embedded intelligence, and neuromorphic computing. · Cybersecurity & Privacy – hardware and IoT security, post-quantum cryptography
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/or Data-Driven Design Product and Hardware Development: Digital Fabrication and Advanced Manufacturing; Hardware-Software Systems; Edge Computing and IoT Systems Human-Computer Interaction: Human
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candidate will work under the primary supervision of Dr Kamran Pedram at the Centre for Sustainable Cyber Security (CS2) (https://www.gre.ac.uk/research/groups/sustainable-cyber-security-cs2 ). The University
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, cameras, wireless access points, AV equipment, IOT, and Building Automation Systems. Excellent communication, collaboration, and leadership skills for working with internal teams and external contractors
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] * Background of the recruitment and description of the project Kanazawa university has been conducting research and education of network system technologies including artificial intelligence, big data, IoT and
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providing technical input for international and national proposals. Participate in training activities, workshops, and the CoE’s AI capacity development. Where to apply Website https://karjera.ktu.edu/en-GB
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for reproducibility, transparency, and knowledge sharing across the team. Where to apply Website https://karjera.ktu.edu/en-GB/jobs/7227605-project-expert-performing-as-senior-… Requirements Research
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Communication Solutions, IoT verticals, Unmanned Aerial Vehicles, Integrated Satellite-Space-Terrestrial Networks, Quantum Communications and Key Distribution, Spectrum Management and Coexistence, Tactile
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Objects”) led by XLIM, which strengthens the experimental component of the ANR project OPV4COM (“Organic photovoltaics for sustainable indoor IoT by simultaneous energy harvesting and optical wireless data
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
digital twin frameworks for civil, energy, and built-environment infrastructure. These frameworks integrate IoT-enabled sensing and real-time analytics to support continuous monitoring, data-driven