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used in this project. The overall goal of the project is to use AI to optimize combustion in real time and select which combustion mode is the best at each instance. The AI controlled engine will rely
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with analytical chemistry techniques for contaminant detecting and quantification is essential. A good command of both written and spoken English is required, along with the ability to work independently
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printing, embedded sensing, and adaptive control, aiming to meet the unique challenges of automation in life science environments. Research tasks and qualifications The main purpose of this PhD position is
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technology, which is subject to special rules for security and export control, open-source background checks may be conducted on qualified candidates for the position. DTU Construct DTU Civil and Mechanical
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control and cloud/HPC computing platforms. Familiarity with containerization (Docker). Ability to collaborate with multidisciplinary teams (e.g., biologists, clinicians, software engineers) and to
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, optimization, control, game theory, and machine learning. Interdisciplinary by design: Work at the intersection of energy systems and markets, privacy and cybersecurity, forecasting, optimization, control, game
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transcripts and BSc/MSc diploma (in English) including official description of grading scale A brief summary (maximum half a page) of your command of quantitative sustainability assessment methods You may apply