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Your Job: Help us shape the energy transition! As part of your doctoral studies, you will support the development of innovative stack designs, operating strategies and measurement methods for power
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stack designs, operating strategies and measurement methods for power-to-X systems using high-temperature electrolysis (SOEC). The developed methods will serve to optimise the operation of SOCs
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at the Copenhagen campus and one at the Aalborg campus. The themes cover key research areas of the department. Stipend no. 3: Data-driven methods for design and operation of human-centric energy-optimized indoor
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optimal performance The PhD student will be supervised by Ida-Maria Sintorn, Professor in digital image processing, and Jens Sjölund, Assistant Professor in AI at the Department of Information Technology
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Optimization of production processes with regard to product
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methods that can contribute to more efficient and robust operation of geothermal energy systems for both heating and cooling. An important goal is to achieve more optimized operation, so that the cost per
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hemocompatible coating strategies to improve membrane–blood interactions. - Model and optimize membrane performance using computational tools, machine learning, and artificial intelligence Work Plan - Synthesis
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process & fluid optimization -- Development of a multi-objective optimization methodology to simultaneously determine the optimal cycle architecture, its operating parameters, and the most suitable working
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13.03.2026, Academic staff A fully funded PhD position (initially 75% TV-L E13, increasing to 100% TV-L E13 after 8 months) is available at the Professorship of Optimization and Sustainable Decision
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optimization methods for run-time network configuration and control. You will design efficient and lightweight learning-based techniques for automated scheduling, network resource allocation, and parameter