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terms of teaching During the employment as a Post doc, the selected candidate will be expected to: Deliver high quality teaching, supervision, and associated examination, as required across the range
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The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a postdoc in the field of machine learning and decisions applied in cooling systems as per
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The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a postdoc in the field of Acoustic Sensing and Machine Learning for Sustainable Battery
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The Villum Foundation has launched a record-breaking research grant of 1 billion DKK over the next ten years, with the goal to advance efforts towards a more sustainable built environment. The announced position is part of this venture, and the successful candidate will participate in the joint...
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At the Technical Faculty of IT and Design of the Department of Sustainability and Planning, Copenhagen, a position as Postdoctoral researcher in Geospatial Machine Learning for Predicting Land Use
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The National Center of Excellence for Molecular Prediction of Inflammatory Bowel Disease (PREDICT), based at the Department of Clinical Medicine, Aalborg University in Copenhagen, is looking to recruit a talented researcher for a full-time 3-year postdoctoral position (37 hours per week) in...
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or soon hereafter. The position is a 3-year Post Doc. The department was established in 1975. Today, we are located in two beautiful harbour-front locations in both Aalborg and Copenhagen. We have more
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the Machine Learning and Artificial Intelligence. Solid mathematical and analytical skills. Knowledge about statistical machine learning, robotic perception, multimodal AI algorithms. Experience in programming
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, unlocking reliable perception and navigation where GNSS/GPS cannot be trusted or is unavailable. The project combines ultrasonic sensing, probabilistic perception, and machine learning with advanced robotics
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: • Develop AI-driven control strategies for grid-forming inverters to enhance grid flexibility, reliability and stability. • Apply machine learning and AI tools for the battery system health estimation