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that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and algorithms. Our research integrates expertise from control theory, machine learning, optimization
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to learn Swedish during their time as PhD-students. For some specific projects, it may be a required that the applicant masters Swedish from the beginning. PhD candidates are expected to work on campus
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data-driven. Will you be part of that change? Then join us in this unique program! Your goal will to leverage cutting-edge machine learning methodologies to extract conformational ensembles from single
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analysis and text analysis, and advanced knowledge of programming, data mining, and machine learning are valued. Rules governing PhD students are set out in the Higher Education Ordinance chapter 5, §§ 1-7
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. Requirements To meet the entry requirements for doctoral studies, you must hold a Master’s (second-cycle) degree in computer science, image analysis and machine learning, mathematics or similar, or have
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(preferably Python) and documented ability to conduct user studies are valued. Experience with large language models and machine learning for human-robot interaction is valued. Rules governing PhD students