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degree in computer science or a closely related field such as mathematics or control engineering. Due to the project’s angle, applicants should have a strong background in at least one of the following
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School of Engineering and Science in accordance with the regulations of Ministerial Order No. 1039 of August 27, 2013 on the PhD Programme at the Universities and Certain Higher Artistic Educational
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interdisciplinary collaborations within Responsible AI A PhD degree within a technical field of AI, e.g. computer vision or NLP Proven-records in peer-reviewed publications within technical AI Strong English
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certificate programme or tailor-made training courses by request. Knowledge of engineering education and teaching experience from a PBL environment is an advantage. You may obtain further information from
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computer science or a closely related field. Due to the project’s angle, applicants must have a strong background in one or several of the following areas: model checking, modeling and specification
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The PhD position is financed by the SparNord Fondens PhD program 2023. The title of the project is“The-trickle down effect. Er kvinder i bestyrelser en genvej til ligestilling i danske virksomheder
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at AAU: https://www.en.tech.aau.dk/research/research-groups/distributed-embedded-and-intelligent-systems REQUIREMENTS Applicants must have a Master’s degree in computer science or a closely related field
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in, Engineering, Data Science, Computer Science or a related field with a strong foundation in physical and data driven modeling, statistics and stochastic processes. Experience in control engineering
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of a novel condition monitoring system. Responsibilities: Develop machine learning algorithms and methods for condition monitoring of a disruptive new main bearing technology. Analyze sensor data from
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. The Postdoc project is headed by Professor Kim Lambertsen Larsen and is co-supervised by Associate Professor Thorbjørn Terndrup Nielsen. The project is funded by the Villum Experiment Programme that supports