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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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and may commence preferably in the fall of 2025. Your tasks As a PhD student at DTU, your work will include: Learn to perform rigorous and relevant research Collaborate with key academic and/or
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will be given to candidates with demonstrated experience with natural language processing, machine learning, and handling large-scale datasets. The position offers an excellent opportunity to develop
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machine learning, and data science. By developing cutting-edge, data-driven solutions across diverse domains, AID plays a key role in shaping the future of AI.As part of this dynamic environment, the PhD
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Economics, Business Administration, Political Science, or similar. The scholarship runs for three years. The PhD will be supervised by Associate Professor Anthony Wray. Data digitization using large language