35 machine-learning "https:" "https:" "https:" "https:" "University of St" Postdoctoral positions at Aalborg University
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of life and satisfaction of its residents. https://www.enjoynordjylland.com/ Your work tasks The position is offered in relation to the EU-funded research program "STRONG UR, Strategies for optimized
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of POLSAFE (see profile: https://vbn.aau.dk/da/persons/jajh/ )The research team will consist of two postdoctoral researchers working closely together with the principal investigator and a research assistant
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about 47 % of all employees are internationals. In total, it has more than 1200 students in its BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its
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investigating how creative, experimental and practice-based learning cultures can be developed in vocational education. In relation to research, applicants should document: Experience, skills and achievements
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work on development of wave energy and offshore wind. Most of our research is focused around work in our wave flume and basin. Further description of the group may be found here: https://vbn.aau.dk/en
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processes such as membrane distillation to achieve the desired recovery. The work will be as part of the European project BeyondBattRec (https://www.beyondbattrec.eu/ ) that involves 12 industrial, academic
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and postdoc cohort positions at http://www.capex-p2x.com . The research area will be within design and modeling of pulsed power supplies utilizing power electronics technology for plasma generation
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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
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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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requirements, including link budgets, beam steering, and orbital pointing dynamics. • Experience with optimization methods and physics-informed machine learning. • A strong publication record in antennas