53 scheduling-algorithms-"Prof" positions at Technical University of Denmark in Denmark
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thermochemical TES. Your main supervisor will be Prof Adriano Sciacovelli and you will join the Thermal Energy Section at DTU Construct. Your work will contribute to a paradigm shift in how complex TES systems
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using high performance computing techniques. 205 years ago, the founder of the Technical University of Denmark, Prof. H.C. Ørsted, discovered electromagnetism. Since Ørsted’s initial discovery, magnets
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, Brovej 118, Office 237, 2800 Kgs. Lyngby, Denmark. Further information Further information may be obtained from Prof. Jochen Teizer at teizerj@dtu.dk . If you are applying from abroad, you may find useful
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expertise in autonomous marine systems. The research focus will be on development, implementation and verification of novel algorithms for motion planning and control of autonomous underwater vehicles. You
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degradation modes. Evaluating suitable sensor technologies and data sources for acquiring relevant metrics. Developing tools and algorithms to automatically analyse sensor data, assess asset condition, and
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applications. The project will be conducted within the IDUN section, under the leadership of Prof. Anja Boisen, at the Department of Health Technology, Technical University of Denmark (DTU). IDUN is a vibrant
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learning representations and improve their interactivity. Make AI explanations more understandable Machine learning algorithms often appear as complex black boxes and much research goes into visualizing
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agreed upon with the relevant union. The period of employment is 2 years. You can read more about career paths at DTU here . Further information Further information may be obtained from Prof. Paul Pop
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of solvers for stochastic optimization problems, and test the methods on real-life data. As part of the PhD you will be following advanced courses to extend your skills, implement and test algorithms, and
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solutions and policy impacts. You will design and implement machine-learning algorithms that interact with your simulation framework for scenario discovery, building surrogate models of simulation outputs