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AI:AT – the AI Factory Austria – is making Austria a hotspot for Artificial Intelligence in Europe. AI:AT is a joint project of AIT and Advanced Computing Austria . It brings together top-level expertise in high-performance computing, artificial intelligence, and data ecosystems, creating an...
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data processing chain - from image capture, image processing/computer vision to image content analysis - using both traditional and modern machine learning and AI methods.
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and society. Our Center for Vision, Automation & Control (VAC) is a team of approximately 140 experts carrying out applied research in image processing, sensor-data fusion, machine learning, data
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and society. Our Center for Vision, Automation & Control (VAC) is a team of approximately 140 experts carrying out applied research in image processing, sensor-data fusion, machine learning, data
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engineering, energy informatics, or a related field Solid programming skills, ideally in Python, and experience or interest in data analysis, machine learning, modelling, or simulation of energy systems
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to foster interdisciplinary learning and support young talents in shaping the future of Human-Computer Interaction in an applied setting. There is an optional combination with master thesis projects.
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well as training sessions, collaborative work on shared research topics, and active exchange among students and experts. The programme is designed to foster interdisciplinary learning and support young talents in
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data analytics, data fusion, machine learning and the design of complex algorithms is an advantage Special interest in applied research and solving practical problems Ability to work in a team
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: data analytics, machine learning, design of complex algorithms, environment modeling, system design Interest in project management of international research- and development projects in the civil and
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after the Ph.D.) in at least one of the three following thematic areas (plus proven interest and willingness to learn the other two): (i) battery testing at cell / module / system level, preferably