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: fluctuating renewable energy, dynamic electricity prices, and increasing system complexity. In the future, industrial energy systems will not simply run. They will understand themselves. They will learn from
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reinforcement learning to derive provable guarantees on resilience. You will work at the interface of these two highly timely perspectives, contributing to both the algorithmic development and the formal analysis
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preferably quantum machine learning. Strong interest in sustainability, education, and youth development. Key Responsibilities: Apply reinforcement learning to optimise resource allocation in hydroponic
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reinforcement to uphold the highest safety standards. A major risk to dike stability is Backward Erosion Piping (BEP): groundwater flow underneath a dike entrains sand particles, eroding the base of the dike
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with mainstream industrial software/systems (e.g., DCS, MES, APC). In-depth research in areas such as Reinforcement Learning, Large Language Models, Digital Twins, Predictive Maintenance. Overseas
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novel eco-UHPFRC mixes with conventional and textile reinforcement, the implementation of these solutions to full-scale case studies, and the study on their life-cycle impacts at the network scale
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mandatory. · Personal Competences: We are seeking highly motivated, independent thinkers, who are well organised and willing to learn. Summary of conditions: Full time work (37,5h/week) Contract
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SD-26109- POSTDOCTORAL RESEARCHER IN AI-BASED ENERGY MANAGEMENT OF RESILIENT MICROGRIDS WITH SECO...
Energy management systems for PV-battery systems AI-based optimization, reinforcement learning, predictive control or data-driven control Real-time simulation, hardware-in-the-loop testing or laboratory
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simulation results with experimental data. This project will integrate advanced AI techniques, including machine learning for parameter optimisation (e.g., Bayesian optimisation, reinforcement learning), AI
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, MES, APC). In-depth research in areas such as Reinforcement Learning, Large Language Models, Digital Twins, Predictive Maintenance. Overseas research experience or experience collaborating with industry