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Field
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Technology, and the PhD student will be positioned in the Esbjerg Energy section. The position is part of the internally funded research project SURGE: Speed-optimized USVs for Robust Guidance and Offshore
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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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16th August 2026 Languages English English English The Department of Industrial Economics and Technology Management has a vacancy for a PhD Candidate position: Hybrid AI-Optimization for Dynamic and
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experience in power electronics (10%) 2. Design and optimization of power supplies. (20%) 3. Modelling and control of power converters and energy conversion systems (DC Microgrids,…). (20%) 4. Digital control
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, by that enabling improved control and optimization. Stall detection will be a natural part. The PhD project is internally financed but will be associated to two large research programmes at NTNU and
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coherently scattered light from a target of interest. Within the project, you will investigate how to achieve full control over the amplitude and phase of the input probe, what additional constraints
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with advanced control methods. The research will therefore explore RL algorithms that not only operate optimally against such competing objectives but also effectively under uncertainty, changing
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Mission: Develop a monitoring and control system for an ammonia dehydrogenation plant. Functions to be developed: Perform plant modeling. Design an optimal control system. Design estimation algorithms
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The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences | Poland | 26 days ago
is a slow, expensive, and labor-intensive process. Large sums are invested into screening compound libraries to identify initial hits and structurally optimizing these initial compounds for human
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functional materials. Research activities focus on controlled polymer synthesis, macromolecular engineering, polymer self-assembly, nanoparticle design, and the development of stimuli-responsive polymer