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CCSE - Associate Professor in Computer Science - Integrated Preparatory Cycle & Engineering Programs
of affiliation is retained. TEACHING ACTIVITIES Teach computer science across the preparatory cycle and the engineering and Bachelor programs: computer-science foundations for engineers, algorithmics and data
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understanding of the interactions between communication, sensing, control, and decision-making in autonomous robotic systems. Experience in developing algorithms for robot navigation, path and trajectory planning
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of affiliation is retained. TEACHING ACTIVITIES Deliver lectures, tutorials and computer-based sessions in computer science fundamentals for engineers, algorithms and programming, and numerical analysis Deliver
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developing algorithms for robot navigation, path and trajectory planning, resource allocation, coordination, or distributed decision-making. Knowledge of wireless communication systems, communication-aware
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of affiliation is retained. TEACHING ACTIVITIES Teach and coordinate the computing and data modules of the curriculum: computer science fundamentals for engineers, algorithms and programming, numerical analysis
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of the postdoctoral fellow will include: conduct scientific research in the field of machine learning. develop novel machine learning algorithms primarily for representation learning, dimensionality reduction
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of precipitation and temperature over Morocco. Key Responsibilities: Statistical model development: Led the development of advanced statistical models and machine learning algorithms for forecasting precipitation
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a talented and motivated Postdoctoral Researcher to join our cutting-edge team, working on the development of advanced AI/ML algorithms for battery management systems (BMS) in electric mobility and
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contribute to our institution's commitment to excellence in research and innovation in microbiology, mainly focusing on understanding the evolutionary dynamics of microorganisms in response to environmental
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) models with data-driven models (hybrid modeling) for improved accuracy and generalization. Development of real-time optimization algorithms and model predictive control (MPC) strategies for adaptive