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research-based education of high quality, perform artistic development and carry out research of the highest international quality standards in the entire range from basic to applied. We will convey
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sciences techniques for the handling of the collected data Perform high-quality scientific research and publish at least 3 publications in internationally scientifically indexed journals Be a cooperative
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timber buildings, timber bridges with long spans, development of high-performance connections based on threaded rods, static and dynamic testing of timber components and investigation of fracture and high
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for high-sensitivity for achieve low limit of detection. b) Functionalization of the opto-biosensor chips: In co-operation with partners from INN and IIT Delhi, develop surface functionalization approach
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. Experience from high-performance computing is an advantage. Applicants must demonstrate fluency in writing and speaking English. Applicants must be able to work independently and in a structured manner and
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focused on hydraulic turbine. However, the market, environmental impact and social acceptance is also part of the research. The candidate will work with hydraulic turbines for future flexible operation. It
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electrochemistry is an advantage. Experience from high-performance computing is an advantage. Applicants must demonstrate fluency in writing and speaking English. Applicants must be able to work independently and in
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motivated to deliver high quality research Has excellent data analysis skills, including solid knowledge of statistics and machine learning Has hands-on experience with high performance computing and/or large
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within the framework described above Academic publications and popular science dissemination Develop databases for advanced materials for various applications Design high-performance materials based on AI
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. The PhD research fellow will be part of the PhD programme in Computer Science: Software Engineering, Sensor Networks and Engineering Computing (https://www.hvl.no/en/research/phd-programmes/phd-programme-in