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cell factory development, data analysis and fermentation optimization. Oversee project planning, execution, and resource allocation. Provide teaching, scientific guidance and mentorship to PhD and Msc
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-disciplinary teams. The preferred candidate has a strong interest in advanced manufacturing of mechanical and electrical products and competencies in applying life cycle assessment (LCA) data to derive decision
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, data analysis and fermentation optimization. Oversee project planning, execution, and resource allocation. Provide teaching, scientific guidance and mentorship to PhD and Msc students. Secure research
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achieve automated data driven optimization (in terms of time and quality) of polishing process parameters by application of machine learning algorithms, leading to a robust, repeatable and fast polishing
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environments Contribute to the design, implementation and testing of a novel AUV concept Carry out experimental work with AUVs in real marine environments for data collection and validation of developed
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learning approaches and develop a theoretical understanding potentially based on differential geometry. In particular, deep neural networks perform surprisingly well on unseen data, a phenomenon known as
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indicated research directions This description should outline the applicant’s thoughts and ideas within the overall aim of the S4OS project. CV. Diploma and transcripts of records. Other relevant information
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The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the
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Keysight, Denmark. Research line 2: "Energy-efficient Sensing and Computing in 6G networks" is dedicated to the interplay of data collection/sensing, communication, and computing according
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components are in use. More specifically, the PhD position will look towards connecting different advanced software tools (of multi-physics and data-based models) simulating the metal AM process