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- MOHAMMED VI POLYTECHNIC UNIVERSITY
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Field
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Language Models Web Systems and IoT Systems The candidate should have critical thinking and team working skills Fluent written and verbal communication skills in English are required The candidate should
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(IoT) devices, for producing information on the status of natural resources. Our research and development activities focus on the synergistic use, processing, and interpretation of data from multiple
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design. Knowledge of wireless sensing, microcontrollers, or IoT data acquisition tools. Publications in energy harvesting, electrochemistry, or sensing-related fields. Experience collaborating
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experience and solid expertise in one or more of the following areas: Advanced Process Control and Optimization Digital Twin and Modeling & Simulation Predictive Maintenance and Fault Diagnosis Industrial IoT
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industrial robotics, industrial IoT, 6G communication and wireless sensor networks as well as research and education within Life Science, smart electronic sensors and medical systems. The Department
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
. These frameworks integrate IoT-enabled sensing and real-time analytics to support continuous monitoring, data-driven evaluation, and predictive maintenance. The work also address user comfort and indoor
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within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer
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Maintenance and Fault Diagnosis Industrial IoT and Edge Computing Good programming skills (e.g., Python, MATLAB, C++) and experience with system simulation. Experience with industrial field projects
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work in: Renewable energy systems (solar, wind, smart grids) Advanced digital technologies (Industry 4.0, IoT, automation) Green process engineering (circular-economy methods, low-impact design) GTI’s
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detection. Familiarity with real-time applications of AI/ML in embedded or IoT devices. Knowledge of cloud-based computing platforms for data processing (e.g., AWS, Google Cloud). Understanding of BMS