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PhD Stipend in machine learning methods for the analysis of IoT time-series data. At the Technical Faculty of IT and Design, Department of Computer Science, one PhD stipend in machine learning
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using internet acting as the cyber layer. The control interactions and stability analysis under different delays, link failure and inconsistencies within the cyber layer must be studied with its
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streams and generate data for analysis and model validation. The project is embedded in the international research projects BeyondBattRec and SpurUp, so you will collaborate with partners across
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also be interaction with the Novo Nordisk Foundation Data Science Infrastructure Programme, “The National Health Data Science Sandbox”, a network of data scientists and researchers across five Danish
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of the PhD student shall be assessed at regular points in time. Who we are Edge computing and networking are principal enablers of widespread automation that is currently transforming all segments of society
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) Doctoral Network ‘ENDURE’ on Enabling Scaled Production of Durable Natural Fibre Components coordinated by the Technical University of Denmark. The PhD project is anchored at the Section of Manufacturing
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the network and in outreach activities with audiences beyond the research community. Prerequisite for applicants On the date you start work (likely to be 1st July 2026), you as researcher must not have lived in
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applications. You will participate in international secondments to other organisations in the network and in outreach activities with audiences beyond the research community. Prerequisite for applicants
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BUG-ID is a Marie Sklodowska-Curie Doctoral Network project, funded by the European Commission, Horizon Europe Program. Commencing its activities in January 2026, the Network will provide PhD
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, or computational modelling, and you should be comfortable working with large datasets and modern deep learning frameworks. Experience with neural network design, optimisation techniques, or scalable computing is an