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2023-224-05660 Full Professor in techno-anthropology and computational social science and humanities
to the challenges facing contemporary and future societies. The research group contributes to the interdisciplinary fields of science& technology studies, anthropology of technology and computational social science
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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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candidate(s) for the PhD stipend holds a Master's degree in biomedical engineering, human machine interfacing, or equivalent with the prospect of pursuing studies on Tongue-Brain hybrid control of computers
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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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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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are highly interdisciplinary and include experts within e.g. biomedical engineering, neuropsychology, pharmacology, biophysics, and medicine with industrial specialisation, and medicine. You will thus be
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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