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-funded by the Innovation Fund Denmark. The PhD student will be working in the framework of the ongoing collaboration between DTU Construct, and Danish companies with interest in implementing solutions
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If you are ready to launch your research career in advanced manufacturing and want to build cutting-edge skills in AI and real-time data-driven production, this PhD opportunity is your gateway. As
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-funded by the Innovation Fund Denmark. The PhD student will be working in the framework of the ongoing collaboration between DTU Construct, and Danish companies with interest in implementing solutions
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such 6-15 GHz into use and developing the needed radio resource management innovations to unleash its full performance potential. This includes integrated scheduling, link adaption, MIMO adaption
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The PhD position is supported by the project mInt: Human-centered design principles for effective management of social boundaries in interoperable text messaging platforms, funded by a DFF Inge
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projects is required. Qualifications The ideal candidate has: A strong background in manufacturing engineering, management engineering, operations management, robotics, industrial engineering, computer science
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and European companies and international academic partners. The AI4OR group focuses on solving complex problems, which require high-level modelling, data analysis and management capabilities as
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influence its development directly. We are currently evolving our mechanical engineering degree program and constructing labs to support both educational activities and research. Workplace description
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into pioneering research that bridges between environmental science, polymer chemistry and advanced data analytics. This PhD position is a chance to make a tangible impact on global environmental challenges related
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) within Robotics, Computer Vision, Computer Science or similar and the candidate is expected to have a profound knowledge on the majority of the following topics: Image processing/computer vision Deep