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environment with close working relationships, networking and social activities, including lively communication and social activities with lab technicians from other labs a workplace characterised by
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, industry and network organizations. The Maersk Mc-Kinney Moller Institute is an internationally recognized research department with strong research units in robotics, drones, artificial intelligence
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research facilities and technologies, situated in close connection to the research environment, and a comprehensive national and international research network and good industrial and professional
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aspects of drug use, drug effects, and drug safety. The group is highly regarded within pharmacoepidemiology and has a large international network. Furthermore, we collaborate extensively with other groups
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machine learning methods, including symbolic regression and neural networks. You will apply the algorithms to the discovery of new models in different fields, including robotic control, fluid mechanics and
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institutions and companies Lead your research area and be highly visible in the international networks of relevance though publications and collaborations Teach and develop a course portfolio for multiple BEng
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. Fluency in English (oral and written). Excellent communication abilities, social skills, and independent attitude paired with the ability to network and interact with relevant stakeholders. We envision
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collaborate with industry partners on applied research projects and participate in international research networks to enhance the department's global research profile. Teaching responsibilities include
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leading-edge research activities. A research culture that encourages open dialogue, innovation, and critical thinking across disciplines. A collegial and inclusive workplace with networking activities
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involving modelling, estimation, and control of advanced robot systems. The group is involved in a variety of national and European projects and features a strong network of academic and industrial partners