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contribute to aiD by developing trustworthy AI-supported methods for multimarket bidding and decision support in Nordic power markets. The rapid integration of wind power, battery storage, and other flexible
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research project Arctic Ocean 2050 together with DNV and Nansen Environmental and Remote Sensing Center. The vision is to develop technology for deeper understanding of the Arctic Ocean as one
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decision-making often relies on quantitative datasets that can be incomplete; this PhD aims to develop adaptive, flexible methods that account for societal attributes and existing vulnerabilities. Duties
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mission in society Developing tasks in a strong and international professional environment Career guidance and follow-up during the PhD period Working capital that can be used to implement the project
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of the performance parameters that affect their application software, as it aids in making future technology choices, predicting performance and scalability, and adapting critical software to new developments
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, industrial organization, and international and development economics. The department hosts five research centres; Centre for Monetary Economics (CME), Centre for Research in Economics and Management (CREAM
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, international and interdisciplinary research environment. Good welfare schemes. Opportunity of up to 1.5 hours a week of exercise during working hours. A workplace with good development and career opportunities
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. Duties of the position Complete doctoral education leading to a PhD degree. Participation in and contribution to the development of the following research, network and education groups including through
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capacity available to power markets with flow-based market coupling. Developing methods for optimally allocating the additional transfer capability enabled by increased transformer loading limits across day
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of achieving Norwegian skills at at least this level. Main responsibilities Develop machine learning architectures that interpret 3D point cloud data incrementally, for real-time use, building an understanding