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machine learning models directly on these edge devices for real-time anomaly detection and identification. You will develop robust signal acquisition and processing pipelines, translate research-grade
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to AAU’s Technical Faculty for IT and Design. The Department of Computer Science has 170+ scientific staff, including the two most cited Danish computer scientists, 20 administrative staff, and 1,100
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the traditional boundaries between the areas of materials physics, materials processing, and materials science. One of the key goals is to synthesise proper materials, whose properties can be controlled by
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bridges the traditional boundaries between the areas of materials physics, materials processing, and materials science. One of the key goals is to synthesise proper materials, whose properties can be
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at the bottom of the jobpost. Further information Read more about our recruitment process here The appointment process at Aalborg University involves a shortlisting process. You can read more about the
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University (AAU) in Aalborg. This full-time position offers a unique opportunity to contribute to high-impact research in drones, AI, and human-computer interaction. Successful candidates will join a dynamic
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processing, specimen preparation, microstructural and chemical characterization, and electrochemical performance evaluation. Depending on background and interests, the work may also involve exploring bio
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process is completed, a final rejection will be sent to the applicants who are not considered for the position. You can read more about the requirements for your application here . The application must be
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Postdoc – Performance requirements for biobased construction materials used in the building envelope
limit values for the use of biobased materials in construction Providing guidelines for moisture levels in relation to moisture from the building process and the use phase of buildings and material
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postdoctoral researchers willberecruited to workcloselyacross the two AAU departments of Sustainability and planning (PLAN) and Computer Sciences (CS). The project’smethodological PI is Associate Professor