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secondary sources (e.g., slags and industrial wastes). Developing purification pathways to produce battery-grade vanadium for energy storage applications. Applying thermodynamic modeling tools (CALPHAD
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. without vegetation. Studying dust deposition and its impact on energy performance. Analyzing meteorological, soil, and energy production data. Contributing to the modeling of PV performance under local
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Intelligence, Machine Learning, Data Science, Electrical Engineering, or a related field. Strong experience in developing and applying AI/ML models to energy systems or similar applications. Proficiency in
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and uncertainty analyses to quantify trade-offs under varying operating conditions. Simulation Build a dynamic simulation of mine haulage energy flows and storage. Validate models in collaboration with
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and model advanced systems based on condensation, sorption, or hybrid thermal processes using solar and alternative energy sources. Conduct laboratory investigations and field trials to assess
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disciplines to develop integrated solutions. Modeling and Simulation: Use simulation and modeling tools to analyze and optimize urban energy networks. Conduct case studies on specific cities to evaluate network
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Institute (GTI) at UM6P specializes in: Renewable energy systems (solar, wind, smart grids) Advanced digital technologies (Industry 4.0, IoT, automation) Green process engineering (circular-economy and low
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, comminution modeling, and ore characterization, and will contribute to developing an integrated beneficiation strategy that reduces operational costs, and energy consumption. This research aligns with broader
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efficiency, ion separation rates, energy consumption, etc. Model ion transport and system behavior under different operational conditions. Collaborate with researchers in diverse projects and contribute
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levers to reduce costs and lead times. Develop strategies and risk management models to enhance the system’s resilience against logistical disruptions. Implement energy management approaches and CO