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and interdisciplinary research, big data and data science, artificial intelligence (AI), internet of things (IoT), smart and secure societies, smart manufacturing, and life science. At DTU Compute we
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science, has fundamentally changed the scope and ambition of harnessing the potential of biological systems. Big data approaches and analysis of biological systems are key research instruments at the Center
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of data and knowledge collected through citizen science, from stakeholders, scientific studies and data collection. Responsibilities and qualifications The professor is expected to lead the research area
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. Understanding of embedded programming, computer architecture and digital electronic systems. Experience with low-level bare-metal coding, particularly in C/C++. Understanding of digital electronic systems
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the area of natural science The ability to work independently and plan complex tasks A collaborative mindset and willingness to engage in a large, international, and cross-disciplinary team Fluency in
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stimulate generation of new biological knowledge and process understanding, which feed fundamental information into sustainable fisheries management, aquaculture innovation, fish welfare and conservation
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, Copenhagen. The overall mission of the department is to lead by scientific excellence and impact-driven research that enables a sustainable, large-scale deployment of wind energy and the development
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Computer Science and a PhD or equivalent within structural optimization. Preference will be given to candidates with experience within large-scale topology and/or shape optimization and HIP based clusters
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within energy systems. The interdisciplinary research can draw from operations research, systems engineering, mathematical modelling, data science, economics and political analysis. The work will require