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systems including fault detection, diagnosis, and performance improvement methods. Mastery of dynamic reconfiguration approaches. Mastery of power converters. Mastery of software tools including MATLAB
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are gaining significant interest for sustainable seawater desalination. This postdoctoral position is part of a research project aiming to design, optimize, and evaluate electrochemical systems [electrodialysis
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infrastructures to enhance energy management, transportation networks, and urban sustainability. Key Responsibilities Design and implement digital twins to monitor and optimize urban systems, including
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, including experts in mineral engineering, chemistry, and process optimization. Supervise MSc/PhD students working on related tasks. Publish high-impact papers and contribute to funding applications
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focuses on the development, synthesis, characterization, and optimization of advanced cathode materials for next-generation Lithium-ion batteries. The successful candidate will contribute to fundamental
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recently completed (or be close to completing) a PhD in Computer Science, Machine Learning, Natural Language Processing (NLP), or a related field, with a thesis focused on AI, specifically LLMs
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techniques may be employed to support the modeling of uncertainty, along with the formulation and resolution of planning problems using stochastic optimization methods. Key Responsibilities The selected
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operations and chemical processes. Ability to conduct experiments. Experience in using both steady-state and dynamic modeling, simulation and optimization tools, e.g. Aspen, Pro/II, GAMS, gProms... Ambitious
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key leaders in the field of applied R&D. The main areas of activity will be, but not limited to: Chemical and biotechnological processes Urban mining Material processing technology Sustainable energy
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. This position focuses on the design, synthesis, characterization, and optimization of advanced cathode materials for next-generation Na-ion batteries. The successful candidate will contribute to fundamental