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- MOHAMMED VI POLYTECHNIC UNIVERSITY
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- ERATOSTHENES CENTRE OF EXCELLENCE
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Field
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teams to develop research activities in AI, cybersecurity, and the Internet of Things (IoT), leading to soliciting and securing externally funded research and publishing peer-reviewed articles. Utilize
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projects, including the flagship EXCELSIOR H2020 Teaming Project (https://excelsior2020.eu/ ), as well as DIGIFARM, NOSTRADAMUS, CERBERUS, and CARBONICA. ERATOSTHENES Centre of Excellence is an autonomous
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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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-edge research that enhances the security of interconnected and intelligent systems, including industrial IoT, smart grids, autonomous manufacturing processes, and critical infrastructure. The successful
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photovoltaic–thermal (PVT) panels, anaerobic digestion, biogas-fuelled micro-CHP, phase-change material (PCM) thermal storage, and IoT-enabled monitoring and control. The successful candidate will lead
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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
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(Federated Learning). Analyze Mobile & Wearable Data: You will work with noisy, high-frequency time-series sensor data (e.g., accelerometers, gyroscopes, biosignals) from mobile IoT devices. You will address
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systems, IoT security, security analytics, operational cybersecurity, digital forensics, vulnerability assessment, malware analysis, privacy technologies, and AI security AI and Emerging Fields: Smart
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their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? You will be part of LIST’s Remote sensing and natural resources modelling group Embedded in