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page to watch video, or click here to open video) About the position The position is part of the research project “Prediction of genetic values and adaptive potential in the wild (GPWILD)” (https
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communication and collaboration skills. Want to contribute to good social environment at the workplace. Pro-active, result oriented and high performance capabilities. Employment in the position is based on a
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the candidate should be integrated, performs research and teaching on how to develop high quality software that benefits society and that is useful for both individuals and organizations. Development plan: In
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performance evaluation of computer systems and networks for interactive applications, preferably with AR/VR/XR, robotics, haptics, multimodal or multimedia systems. Directly relevant areas are preferable
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educational system Fluent oral and written communication skills in English Desired qualifications: Relevant experience in marine technology and AI will be advantageous Knowledge about high performance computing
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for and is granted admission to the Faculty’s doctoral programme in Technology within three months of starting in the position. The doctoral programme includes relevant courses corresponding
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conducting user experience studies and quantitative performance evaluation Documented experience in the system performance evaluation of computer systems and networks for interactive applications, preferably
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environment at the workplace. Pro-active, result oriented and high performance capabilities. Employment in the position is based on a comprehensive assessment of all qualification requirements applicable
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Bayesian inference, data assimilation, inverse modeling, and/or probabilistic machine learning to geoscientific or ecological models is highly desirable. Experience in high performance computing and handling
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environment in Norway. We perform research at a high international standard and have five ERC (European Research Council) research projects ongoing. The Department encompasses six scientific sections