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, 2026, with the earliest start date 1 February, 2027. Further details and application instructions are available at: https://math.au.dk/en/about/vacancies/phd The webpage includes brief subject
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. You can read more about the Department of Management at: https://mgmt.au.dk/ Further information The Department of Management offers a stimulating international environment. The department conducts
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for someone who is structured and dependable. You find enjoyment in working with data, learning new techniques, and applying them in rigorous ways. Ideally, you are at the end of your Bachelor or start of your
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. The successful applicant must also teach, supervise, prepare and participate in examinations, and fulfill other tasks requested by the Department. Assessment of applicants for the associate professorship will
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-scale relevance. The successful candidate will: Develop and lead an innovative research program of leading international quality Teach and examine students at all levels including lecturing undergraduate
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circuit models and algorithms for estimating the charge, health, and power based on direct methods (e.g. open circuit voltage), model-based methods (e.g. Kalman filtering), data driven methods (e.g. machine
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not a requirement. We are looking for a curious and enthusiastic researcher who is eager to learn new techniques, work across experimental approaches, and develop their own ideas within the project. Our
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-Physical Energy Systems The PhD position focuses on the development of secure and trustworthy AI for resource-constrained embedded systems. The research will investigate how machine learning models can be
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, you will work at the intersection of polymer processing, materials science and Machine Learning to develop dynamic recipes for sustainable plastics. In a typical plastics production line, several types
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framework for understanding emergent deception in human-AI interaction by uniting behavioural-psychological, economic-strategic, and machine learning perspectives. The postdoc will be jointly supervised by