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will contribute to developing management and real-time operation tools to coordinate and optimize charging with PV production, while also enabling grid services. The study is further linked to two
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available sensor and meter infrastructure, affordable computational resources, and advanced modeling algorithms. MPCs excel in handling constrained optimizations and new operational conditions, whereas RLs
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characterize waveguide devices and establish necessary theoretical background. Focus on the following areas: Design and characterization of photon pair sources in simple waveguide devices Optimization
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with PV generation. The research will contribute to developing management and real-time operation tools to coordinate and optimize charging with PV production, while also enabling grid services
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purification, and enzyme characterization, with the goal of understanding and optimizing enzymatic systems for lignin modification and valorization. This position lies at the dynamic interface between
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, system identification, and/or optimization. Candidates are expected to hold an academic background in civil, electrical, or mechanical engineering, with a preferred focus on structural dynamics, signal
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, etc. has significant experience with disseminating and making own professional competencies visible in broad societal circles aiming to optimize the impact of the research and the educations. This will
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of scanning workflows and optimization of acquisition parameters. Prepare documentation, figures, and short reports summarizing experimental outcomes. Qualifications Experience with data analysis, signal/image
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an optimized extraction process for bioactive compounds from seaweed. Analyse and characterize the extracted compounds for their bioactivity and techno-functional properties. Support student supervision and
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our team at DTU Compute, offering a fully funded position within a dynamic and interdisciplinary research environment. The positions are part of the research project “AI-driven materials optimization